d M(n)  4: c 1*3
        1/        84
TI = The use of the wavelet transform for improvement of axial resolution of
     pulse-echo ultrasonic image
AU = Hamamoto, K., Nishimura, T. (Dept. of Commun. Eng., Tokai Univ.,
     Kanagawa, Japan)
SO = Proceedings of the 1996 IEEE IECON. 22nd International Conference on
     Industrial Electronics, Control, and Instrumentation (Cat.
     No.96CH35830), 536-9 vol.1, 3 vol. (lxxiv+xxxiv+1995), 1996
PU = IEEE, New York, NY, USA
AB = Axial resolution of the pulse-echo ultrasonic image depends on pulse
     duration. Therefore, inverse filtering methods have been proposed to
     improve the resolution. The center frequency of pulse wave, however,
     shifts to a lower frequency as it travels in biological media, so that
     pulse duration becomes longer. In addition to this problem, pulse waves
     reflected in deep regions cannot be recognized due to their low signal
     to noise ratios. The authors propose a method using the wavelet
     transform to improve the resolution. The wavelet transform is a method
     for time-frequency analysis. The incident pulse wave is used as the
     mother wavelet in this method. Simulation results show that it is
     possible to improve axial resolution and to detect reflective index in
     noise by this method.
 
        2/        84
TI = Smoothing of miniature eye movement using wavelet analysis when gazing
     a fixed target
AU = Yoshimatsu, H. (Res. Center, Sony Corp., Yokohama, Japan)
SO = J. Inst. Telev. Eng. Jpn. (Japan), vol.50, no.12, 1903-12, Dec. 1996
PU = Inst. Telev. Eng. Japan
AB = Wavelet analysis of eye movements when subjects gaze at a fixed target
     is proposed. This enables us to get a low-noise waveform of eye
     movement from raw data. Time derivatives of the data, i.e., velocity
     and acceleration, can be easily obtained using this method. The results
     are compared with the results obtained by a method that smooths the
     waveform of miniature eye movement using an FIR filter. Three
     applications are discussed: a representation of eye movement using a
     chaotic attractor, a vector representation of acceleration of eye
     movement, and a statistical analysis to estimate minute skewness of
     miniature eye movement acceleration. The decrease of the blink
     component using wavelet analysis is also discussed. These applications
     can be used to evaluate the picture quality of new virtual and
     stereoscopic displays.
 
        3/        84
TI = Optical wavelet processor by holographic bipolar encoding and joint-
     transform correlation
AU = Hirokawa, K., Itoh, K., Ichioka, Y. (Dept. of Mater. & Life Sci., Osaka
     Univ., Japan)
SO = Appl. Opt. (USA), vol.36, no.5, 1023-6, 10 Feb. 1997
PU = Opt. Soc. America
AB = A novel optical wavelet processor based on the techniques of the joint-
     transform correlator and computer-generated holograms is proposed. A
     coding technique that is a simplified version of Lee's hologram ◊Appl.
     Opt. 9, 639 (1970)› is used to represent positive and negative values
     for the object signal and wavelet functions. We experimentally
     demonstrate that wavelet transforms of two different daughter wavelet
     functions can be simultaneously obtained by the appropriate arrangement
     of the daughter wavelet functions and the object signal on the input
     plane.
 
        4/        84
TI = Analysis of wavelet transform in electric charge distribution in
     dielectric liquids using pressure wave method
AU = Hirai, N., Takao, H., Nishimoto, S., Arii, K. (Fac. of Eng., Ehime
     Univ., Matsuyama, Japan)
SO = Jpn. J. Appl. Phys. 1, Regul. Pap. Short Notes Rev. Pap. (Japan),
     vol.35, no.12A, 6282-5, Dec. 1996
PU = Publication Office, Japanese Journal Appl. Phys
AB = In our laboratory, a polymer piezoelectric vibrator and an acoustic
     emission sensor have been used for generation of pressure waves in
     dielectric liquids. A large amount of noise is contained in
     experimental data of charge distribution obtained using the pressure
     wave method. For removal of this noise, the wavelet transform was used
     in the data analysis. The noise removal from and time-frequency
     analysis of experimental data were performed simultaneously. The
     removal of noise from the data using the wavelet transform could make a
     more clear waveform than the waveform of the measured data. Therefore,
     it was clear that the wavelet analysis can be applied to measurement of
     charge distribution in dielectric liquids using the pressure wave
     method.
 
        5/        84
TI = Application of loudness/pitch/timbre decomposition operators to
     auditory scene analysis
AU = Abe, M., Ando, S. (Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan)
SO = 1996 IEEE International Conference on Acoustics, Speech, and Signal
     Processing Conference Proceedings (Cat. No.96CH35903), 2646-9 vol. 5, 6
     vol. lvii+3588, 1996
PU = IEEE, New York, NY, USA
AB = Abe and Ando (see Proc. IEEE ICASSP95, p.1368-71, 1995) proposed
     nonlinear operators which decompose a changing energy of sound in the
     wavelet domain into three orthogonal components: i.e., loudness and
     pitch as coherent changes, and timbre as an incoherent change. They
     showed that they could detect the discontinuity of a single sound
     stream with excellent temporal resolution and sensitivity. In this
     paper, they extend the coherency principle so that it can describe and
     pursue the individual coherency of non-overlapping sound streams in the
     wavelet domain. It is realized by Parzen's non-parametric estimates and
     Kalman filtering of the loudness change rate and the pitch shift rate.
     Using this method, they show some experiments for the extraction of the
     most salient stream from multiple sound streams.
 
        6/        84
TI = Detection of nonstationary signal in brain waves
AU = Ishii, N., Tang, Z., Iguchi, H., Sasaki, H. (Dept. of Intelligence &
     Comput. Sci., Nagoya Inst. of Technol., Japan)
SO = Proceedings of the IASTED International Conference: Modelling,
     Simulation and Identification, 116-19, iii+271, 1994
PU = IASTED, Calgary, Alta., Canada
AB = K-complex in human's EEG, which is a nonstationary wave, are detected
     by the discrete wavelet transform (DWT). The features of K-complex
     waves are extracted in terms of three parameters: the local maxima of
     the wavelet transform modulus, average slope and the number of DWT
     coefficients in a wave. The 4-order B-spline wavelet is selected as the
     wavelet basis. Two channels at different resolutions are used to detect
     slow wave and sleep spindle contained in the K-complex. The EEG signal
     containing K-complexes elicited by sound stimuli is used as pattern to
     train the classifiers.
 
        7/        84
TI = Attempts of fully automated home health monitoring systems
AU = Togawa, T., Tamura, T., Kimura, Y., Ogawa, M. (Inst. for Med. & Dental
     Eng., Tokyo Med. & Dental Univ., Japan)
SO = Med. Biol. Eng. Comput. (UK), vol.34, SUPPL.1, PT.1, 31-2, 1996
PU = Peter Peregrinus for Int. Fed. Med. & Biol. Eng
AB = Monitoring of daily activity and health condition at home using fully
     automated instruments is proposed. As a preliminary study, monitoring
     of temperatures on a bed, and automatic recording of ECG in a Japanese-
     style bath tub were attempted. Automatic personal identification in ECG
     measurement was attempted using the wavelet transform and a neural
     network. Further possible applications of home health monitoring are
     discussed.
 
        8/        84
TI = Wavelet representation for the solution of radial Schrodinger equation
AU = Yamaguchi, K., Mukoyama, T. (Inst. for Chem. Res., Kyoto Univ., Japan)
SO = J. Phys. B, At. Mol. Opt. Phys. (UK), vol.29, no.18, 4059-71, 28 Sept.
     1996
PU = IOP Publishing
AB = The Meyer orthonormal wavelet is applied for solving radial Schrodinger
     equations for atoms. The validity of the present method has been tested
     by calculating the energy eigenvalues, wavefunctions, radiative
     transition rates, and partial photo-ionization cross sections. The
     advantage of employing wavelets as a basis set for atomic and molecular
     systems over other basis functions is discussed.
 
        9/        84
TI = New digital techniques for precise measurement of surface wave velocity
     with acoustic microscope
AU = Okade, M., Hasebe, T., Kawai, T., Kawashima, K. (Aisin Seiki Corp.,
     Kariya, Japan)
SO = Mater. Sci. Forum (Switzerland), vol.210-213, PT.2, 839-46, 1996
PU = Trans Tech Publications
AB = A scanning acoustic microscope (SAM) has been used to visualize
     variations in local acoustic properties at the surface or the
     subsurface of solids using a high frequency surface wave, usually above
     100 MHz. In addition, the SAM can measure a surface wave velocity using
     a V(Z) curve. If the surface wave velocity can be accurately measured
     using the V(Z) curve, it is possible to evaluate minute microstructual
     changes and surface stresses within a very localized region.
 
       10/        84
TI = Wavelet solution of the inverse parameter problems
AU = Doi, T., Hayano, S., Saito, Y. (Coll. of Eng., Hosei Univ., Tokyo,
     Japan)
SO = IEEE CEFC '96. The Seventh Biennial IEEE Conference on Electromagnetic
     Field Computation, 404, 498, 1996
PU = IEEE, New York, NY, USA
AB = Previously, we have proposed a method for solving the inverse problems,
     and successfully applied it to biomagnetic fields as well as
     nondestructive testing in metallic materials. In the present paper, we
     propose a novel inverse approach for the parameter determination
     problems employing the wavelet analysis. A simple example demonstrates
     the validity of our approach.
 
       11/        84
TI = A wavelet transform approach to inverse problems of Vandermonde systems
AU = Yoda, K., Saito, Y. (Adv. Technol. R&D Center, Mitsubishi Electr.
     Corp., Amagasaki, Japan)
SO = IEEE CEFC '96. The Seventh Biennial IEEE Conference on Electromagnetic
     Field Computation, 401, 498, 1996
PU = IEEE, New York, NY, USA
AB = Inverse problems of Vandermonde systems were solved using the discrete
     wavelet transform. The inverse matrices of the transformed subsystem
     were calculated, thereby locating the largest well-conditioned
     submatrix. The reduced system was solved and the solution was inversely
     transformed. The results were compared among different wavelet basis
     functions, indicating that the Daubechies-4 wavelets lead to much more
     accurate solutions than the Haar pulse wavelets. A simple technique for
     eliminating systematic noise is also proposed to further improve the
     accuracy of the final solution. A one-dimensional current sheet model
     having 32 elements was employed and the magnetic field distribution
     near the surface was calculated to simulate measurement data.
 
       12/        84
TI = Incomplete discrete wavelet transform and its application to a Poisson
     equation solver
AU = Tanaka, N., Terasaka, H., Shimizu, T., Takigawa, Y. (Nucl. Eng. Lab.,
     Toshiba Corp., Kawasaki, Japan)
SO = J. Nucl. Sci. Technol. (Japan), vol.33, no.7, 555-61, July 1996
PU = Atomic Energy Soc. Japan
AB = This paper introduces an incomplete discrete wavelet transform (iDWT),
     which is applied to a preconditioning method for linear equation
     systems discretized from differential equations. The linear systems can
     be solved with a matrix solver, but the convergence speed becomes worse
     with increase of condition number, which exponentially increases with
     the scale magnification. The use of wavelets in linear systems has an
     advantage in that a diagonal rescaling makes the number become bounded
     by a limited value, and the advantage is utilized in a matrix solver
     presented by G. Beylkin (1994). The method, however, has several
     problems and is difficult to apply to the real numerical analysis. To
     solve the problems, we introduce the iDWT method that approximates the
     discrete wavelet transform and is easy to implement in the
     computational analysis. The effects and advantages of the iDWT
     preconditioning are confirmed with one- and two-dimensional boundary
     value problems of elliptic equations. On a Cray C94D vector computer,
     the iDWT preconditioned CG method can solve the 2D Poisson equation,
     discretized with 1024*1024 grid points, about 14 times faster than the
     ICCG method.
 
       13/        84
TI = Experimental wavelet analysis of flexural waves in beams
AU = Inoue, H., Kishimoto, K., Shibuya, T. (Dept. of Mech. & Intelligent
     Syst. Eng., Tokyo Inst. of Technol., Japan)
SO = Exp. Mech. (USA), vol.36, no.3, 212-17, Sept. 1996
PU = Sage Science Press
AB = The wavelet transform (WT) is applied to the time-frequency analysis of
     flexural waves in beams. The WT with the Gabor wavelet decomposes a
     dispersive wave into each frequency component in the time domain, which
     enables one to determine the travelling time of a wave along the beam
     at each frequency. By utilizing this fact, a method is developed to
     identify the dispersion relation and impact site of beams.
 
       14/        84
TI = Wavelet analysis of one-dimensional cosmological density fluctuations
AU = Fujiwara, Y., Soda, J. (Yukawa Inst. for Theor. Phys., Kyoto Univ.,
     Japan)
SO = Prog. Theor. Phys. (Japan), vol.95, no.6, 1059-77, June 1996
PU = Yukawa Inst. Theor. Phys. & Phys. Soc. Japan
AB = Wavelet analysis is proposed as a new tool for studying the large-scale
     structure formation of the universe. To reveal its usefulness, the
     wavelet decomposition of a one-dimensional model of cosmological
     density fluctuations is performed. In contrast with Fourier analysis,
     the wavelet analysis has the advantage of the ability to retain
     information concerning location of local density peaks in addition to
     that of their scales. The wavelet decomposition of evolving density
     fluctuations with various initial conditions is examined. We argue that
     the wavelet analysis is an alternative useful tool for data analysis as
     well as nonlinear analysis and may be usefully employed in the Sloan
     Digital Sky Survey and COBE analyses.
 
       15/        84
TI = Real-time optical wavelet-transform with joint transform correlator
AU = Hirokawa, K., Itoh, K., Ichioka, Y. (Osaka Univ., Japan)
SO = 1996 International Topical Meeting on Optical Computing. Technical
     Digest, 212-13 vol.1, 2 vol. (xviii+263+21), 1996
PU = Japan Soc. Appl. Phys, Tokyo, Japan
AB = An optical system of the wavelet transform based on the joint transform
     correlator (JTC) is proposed and demonstrated. A new coding technique
     that uses the analogy to the computer generated holograms is also
     proposed.
 
       16/        84
TI = Doppler signal processing of blood flow using a wavelet transform
AU = Matani, A., Oshiro, O., Chihara, K. (Graduate Sch. of Inf. & Sci., Nara
     Inst. of Sci. & Technol., Japan)
SO = Jpn. J. Appl. Phys. 1, Regul. Pap. Short Notes Rev. Pap. (Japan),
     vol.35, no.5B, 3131-4, May 1996
PU = Publication Office, Japanese Journal Appl. Phys
AB = In medical echography, Doppler signal analysis is one of the most
     important diagnostic techniques. In Doppler signal analysis, time-
     frequency localization techniques are necessary. Many techniques have
     been proposed for the analysis. Short-time Fourier transform (STFT) is
     one of the most popular techniques. STFT has a fixed time-frequency
     window making it inappropriate for analysis of signals having a wide
     bandwidth. On the other hand, recently, the wavelet transform (WT) has
     received much attention. WT has a flexible time-frequency window
     adaptable to any time-frequency range. Here, the authors describe an
     application of STFT and WT to Doppler signal processing. The STFT in
     this study had a rectangular window and required fast Fourier transform
     (FFT). The WT with a Morlet function as the mother wavelet was modified
     to reduce the amount of calculation. Then, the authors compared the
     suitability of STFT and WT for application to Doppler signal processing
     of a simulation and an actual blood flow. In the simulation, a flow
     having fast and slow velocity changes was assumed. The simulation
     revealed that the WT could reproduce the fast change of flow velocity,
     while the STFT could not. Then, a blood flow Doppler signal was
     measured at a point near the mitral valve in the left ventricle. Only
     the WT was capable of reproducing the fast change of flow velocity in
     the heart. The WT is expected to be useful for analyzing blood flow
     disorders such as regurgitation.
 
       17/        84
TI = Acoustic imaging for archaeological investigations using wavelet
     transform
AU = Hachiya, H., Amao, Y. (Dept. of Inf. & Comput. Sci., Chiba Univ., Japan)
SO = Jpn. J. Appl. Phys. 1, Regul. Pap. Short Notes Rev. Pap. (Japan),
     vol.35, no.5B, 3101-4, May 1996
PU = Publication Office, Japanese Journal Appl. Phys
AB = Recently, scientific methods such as acoustical survey or ground radar,
     have been used in the survey of buried remnants. Archaeological
     cultural property is often buried at a shallow depth of about 1 to 5 m.
     In the configuration presented here, we receive various waves, such as
     the direct wave along the surface, longitudinal wave and transverse
     wave, at almost the same time. In this paper, we propose a processing
     technique using the wavelet transform to separate the desired signal.
     From a survey experiment at the test site, it was found that this
     processing technique is useful for the reconstruction of underground
     images for archaeological investigations.
 
       18/        84
TI = Wavelet analysis of electric field changes due to lightning discharges
AU = Wada, M., Ushio, T., Kawada, M., Kawasaki, Z., Matsuura, K., Matsui, T. (
     Osaka Univ., Japan)
SO = Trans. Inst. Electr. Eng. Jpn. B (Japan), vol.116-B, no.4, 469-74,
     APRIL 1996
PU = Inst. Electr. Eng. Japan
AB = Electric field changes due to lightning discharges are analyzed by
     means of wavelets. Since the electric field changes are non-stationary
     phenomena, the conventional fast Fourier transform (FFT) analysis is
     not sufficient to investigate the transition of electric field spectra
     as functions of time. The main objective of this paper is to discuss
     the feasibility of the forecasting of lightning to the ground to
     consult the transition of electric fields. For this purpose the typical
     electric field changes of the positive cloud to ground strokes, which
     were observed during winter thunderstorms, are analyzed. The transition
     of spectra corresponding to the preliminary breakdown pulses, return
     strokes and continuing currents with pulses are shown and the
     feasibility of forecasting is suggested.
 
       19/        84
TI = Method for noninvasive estimation of left ventricular end diastolic
     pressure based on analysis of heart wall vibration
AU = Sato, M., Kanai, H., Chubachi, N., Honda, H., Koiwa, Y. (Dept. of
     Electr. Eng., Tohoku Univ., Sendai, Japan)
SO = Electron. Lett. (UK), vol.32, no.11, 949-50, 23 May 1996
PU = IEE
AB = The authors present a new noninvasive method for measurement of the
     left ventricular (LV) end diastolic pressure by combining Mirsky`s
     (1974) method and the experimentally derived relationship among the
     elasticity of the LV wall, the LV sizes and the LV instantaneous mode-2
     eigenfrequency. The LV instantaneous eigenfrequency is selectively
     determined from the time-frequency distribution obtained by applying
     the wavelet transform (WT) to the nonstationary vibration on the heart
     wall.
 
       20/        84
TI = An application of the wavelets to the magnetic field source searching
AU = Doi, T., Yoshida, S., Nakaya, Y., Hayano, S., Saito, Y. (Coll. of Eng.,
     Hosei Univ., Koganei, Japan)
SO = J. Appl. Phys. (USA), vol.79, no.8, PT.2A, 4699-701, 15 APRIL 1996
PU = AIP
AB = Recently, wavelet analysis is being applied to various fields, such as
     image data compression in informatics and spectrum analysis of the
     electrocardiogram. In the present article, we propose two approaches,
     employing wavelet analysis for the human heart diagnosis. One is the
     data base approach, and the other is an inverse approach searching for
     the magnetic field source of the human heart. The data base approach is
     an application of the data compression to the magnetocardiogram. Also,
     the magnetic field source searching is an application of the spectrum
     analysis to the magnetocardiogram. The results reveal that the data
     base approach makes it possible to identify the normal or abnormal
     heart, and the magnetic field source search is capable of estimating
     the current distribution of a distinct heart.
 
       21/        84
TI = Wavelet encoded MR imaging
AU = Shimizu, K., Ueguchi, T., Tamura, S., Nakamura, H. (Osaka Univ., Japan)
SO = Med. Imaging Technol. (Japan), vol.14, no.3, 252-7, May 1996
PU = Japanese Soc. Med. Imaging Technol
AB = Wavelet encoding has been proposed as an alternative method to Fourier
     based phase encoding in magnetic resonance (MR) imaging. In wavelet
     encoding, the RF pulse is designed to generate a wavelet-shaped
     excitation profile of spins. From the resulting echo signals, the
     wavelet transform coefficients of spin distribution are acquired and an
     original spin density is reconstructed from wavelet expansion. Wavelet
     encoding has several advantages over phase encoding. It has a unique
     capability to spatially select the resolution of the reconstructed
     images, because of the multiresolution property of compactly supported
     wavelet representation. By minimizing redundancy of the data
     acquisition in a dynamic series of images, one can avoid some encoding
     steps without serious loss of quality in the reconstructed image. This
     strategy may be regarded as data compression during imaging. Although
     there are some limitations in wavelet encoding, it is a promising
     scheme for dynamic imaging.
 
       22/        84
TI = Density anomaly effect upon silicon melt flow during Czochralski
     crystal growth. II. Time-topical flow structure under the growth
     interface
AU = Togawa, S., Chung, S.I., Kawanishi, S., Izunome, K., Terashima, K.,
     Kimura, S. (Res. Dev. Corp. of Japan (JRDC), Japan)
SO = J. Cryst. Growth (Netherlands), vol.160, no.1-2, 49-54, MARCH 1996
PU = Elsevier
AB = For pt.I see ibid., vol.160, p.41 (1996). The purpose of this work is
     to investigate the effect of density anomaly upon the time-topical
     structure of the melt flow under the crystal growth interface by
     applying a wavelet transform to the temperature fluctuation in this
     region. The fluctuation components that have a period of about 44
     seconds appear irregularly on the time axis and are considered to be
     caused by detachment of the boundary layer near the bottom of the
     crucible in the case of a relatively deep melt. This is the
     characteristic phenomenon of "soft turbulence", as described in a
     previous paper These fluctuation components disappear when gallium is
     added to the shallow melt, whereas the flow structure remains
     turbulence-like in the cases of undoped and B-doped shallow melts. A
     detailed statistical analysis of this time-topical flow structure
     showed that this flow regime stays unsteady and the flow situation
     changes from moment to moment. When gallium is added, the flow
     structure becomes laminar-like and differs clearly from the other two
     cases. We can thus confirm the existence of a silicon melt density
     anomaly in the crystal growth system and its influence upon the flow
     structure.
 
       23/        84
TI = Detection of onsets in seismic wave with wavelet analysis
AU = Ishikawa, R., Tokuhiro, I. (Kanagawa Inst. of Technol., Japan)
SO = J. Acoust. Soc. Jpn. (Japan), vol.52, no.2, 105-11, Feb. 1996
PU = Acoust. Soc. Japan
AB = For the purpose of predicting earthquakes, it is useful to make the
     seismometry processing system automatic. However, the detection of
     onsets and the determination of the arrival times prevent the system
     from becoming automatic. This paper presents a new statistical method
     to detect onsets and to determine the arrival time by the examination
     of spectral change from a noise to a seismic wave, the expansion of a
     seismic wave into the time-frequency domain with Gabor or Laplacian-
     Gaussian wavelets and short-time Fourier transform.
 
       24/        84
TI = Acoustic diagnosis for blower with wavelet transform and neural
     networks
AU = Kotani, M., Ueda, Y., Matsumoto, H., Kanagawa, T. (Fac. of Eng., Kobe
     Univ., Japan)
SO = 1995 IEEE International Conference on Neural Networks Proceedings (Cat.
     No.95CH35828), 718-23 vol.2, 6 vol. l+3219, 1995
PU = IEEE, New York, NY, USA
AB = It is important for this diagnosis to detect the surging phenomena
     which lead to the destruction of the blower. Since the surging sound is
     a non-stationary signal, the wavelet transform is more suitable for the
     pre-processing method than FFT transform. The dyadic wavelet transform
     is used as the pre-processing method. The multi-layered neural network
     is used as the discrimination method. The results show that the neural
     network with the wavelet transform can detect the surging sound
     perfectly.
 
       25/        84
TI = An optimal auditory filter
AU = Toshio, I. (NTT Basic Res. Labs., Kanagawa, Japan)
SO = 1995 IEEE ASSP Workshop on Applications of Signal Processing to Audio
     and Acoustics (Cat. No.95TH8144), 198-201, 284, 1995
PU = IEEE, New York, NY, USA
AB = The optimality of the peripheral auditory filter is investigated using
     operator methods applied to a scale representation. A `gammachirp`
     function, which consists of a frequency modulated carrier and an
     envelope of a gamma distribution function, is found to be the optimal
     auditory filter in terms of minimal uncertainty if the time-scale
     representation is calculated in the auditory system. The gammatone
     function is the first-order approximation of the gammachirp function.
     The gammachirp function has an asymmetrical Fourier power spectrum and
     fits the psychoacoustic auditory filter shape better than the gammatone
     function. Wavelet configuration is optimal for the auditory filterbank
     in terms of invariability in the scale representation. Data for
     equivalent rectangular bandwidth (ERB) suggest the wavelet gammachirp
     filterbank is feasible for characteristic frequencies above 800 Hz.
 
       26/        84
TI = Application of wavelet analysis to wind disturbances observed with MST
     radar techniques
AU = Shimomai, T., Yamanaka, M.D., Fukao, S. (Radio Atmos. Sci. Center,
     Kyoto Univ., Japan)
SO = J. Atmos. Terr. Phys. (UK), vol.58, no.6, 683-96, APRIL 1996
PU = Elsevier
AB = A computer program following the orthonormal wavelet analysis algorithm
     developed by Yamada and Ohkitani (1991) is applied to an analysis of
     local and transient behaviours of internal gravity waves from a finite-
     length, discrete data record of the vertical profile of wind velocity
     provided by the MST radar technique. The functionality of this program
     has been confirmed by simultaneously simulating well-known spectral and
     monochromatic features (such as the -3 power law of a vertical wave-
     number spectrum and the upward increase of predominant vertical
     wavelength) by a summation of several wavelet components corresponding
     to localized gravity waves. This simulation is used also to study the
     reliability of the wavelet analysis program. It is shown that, by
     adding 64 null data at each end of the profiles, all the wavelet
     coefficients can be obtained by this program, apart from those at each
     end. The authors have applied this program to about 1000 vertical
     profiles of zonal and meridional winds in the troposphere and the lower
     stratosphere (2-20 km altitude) which are obtained from 30 min averages
     of three weeks of continuous observation data with an MST radar (the MU
     radar in Japan) during June-July 1991. They find from the wavelet
     analysis that quasi-monochromatic waves with vertical wavelength
     approximately=2 km are dominant above the tropopause, and that
     activities of the shorter or longer waves have different vertical
     distributions. Striking temporal variations of vertical distributions
     of wave activity are also clearly found by the wavelet analysis.
 
       27/        84
TI = Boiling anomaly detection by various signal characterization methods
AU = Sakuma, M., Kozma, R., Kitamura, M., Schoonewelle, H., Hoogenboom, J.E. (
     Dept. of Nucl. Eng., Tohoku Univ., Japan)
SO = SMORN VII. A Symposium on Nuclear Reactor Surveillance and Diagnostics.
     Proceedings, 3.9/1-9 vol.1, 2 vol. (462+510), 1995
PU = OECD Nucl. Energy Agency, Issy les Moulineaux, France
AB = In order to detect anomalies in the very early stage for complex
     dynamical systems like nuclear power plants, it is important to
     characterize various statistical features of the data acquired in
     normal operating condition. In this paper, concept of the hierarchical
     anomaly monitoring method is outlined, which is based on the
     diversification principle. In addition to usual time and frequency
     domain analysis (FFT, APDF, MAR-SPRT), other analysis (wavelet,
     fractal, etc.) are performed. As soon as any inconsistency arises in
     the results of the analysis on the upper level, a thorough analysis is
     initiated. A comparison among these methods is performed and the
     efficiency of the diversification approach has been demonstrated
     through simulated boiling anomalies in nuclear reactors.
 
       28/        84
TI = Wavelet transforms associated to a principal series representation of
     semisimple Lie groups. II
AU = Kawazoe, T. (Dept. of Math., Keio Univ., Japan)
SO = Proc. Jpn. Acad. A, Math. Sci. (Japan), vol.71, no.7, 158-60, Sept.
     1995
PU = Japan Acad
AB = For pt. 1, see ibid., vol. 71A, p. 154-7 (1995). We suppose that S is
     an arbitrary measureable set with map l:S to G and we consider a
     distribution vector phi in I`(N) which depend on s in S.
 
       29/        84
TI = Wavelet transforms associated to a principal series representation of
     semisimple Lie groups. I
AU = Kawazoe, T. (Dept. of Math., Keio Univ., Japan)
SO = Proc. Jpn. Acad. A, Math. Sci. (Japan), vol.71, no.7, 154-7, Sept. 1995
PU = Japan Acad
AB = We investigate a transform associated to a principal series
     representation of noncompact semisimple Lie groups and we obtain a
     generalisation of the Grossmann-Morlet transform and Carderon identity.
 
       30/        84
TI = Adaptive active noise control schemes in time-domain and transform-
     domains
AU = Jiang, F., Ojiro, N., Ohmori, H., Sano, A. (Dept. of Electr. Eng., Keio
     Univ., Yokohama, Japan)
SO = Proceedings of the 34th IEEE Conference on Decision and Control (Cat.
     No.95CH35803), 2165-72 vol.3, 4 vol. 4385, 1995
PU = IEEE, New York, NY, USA
AB = A general structure of adaptive active noise control systems is
     investigated to propose stability-assured adaptive algorithms to update
     parameters of an adaptive feedforward controller. In order to deal with
     a general case where all of the sound transmission channel dynamics are
     uncertainly changeable, which cannot be solved by conventional
     approaches, a new fully adaptive algorithm is also presented on a basis
     of robust stabilization by a fixed feedback controller and the strictly
     positive real property of a newly given error system. The proposed
     adaptive algorithms can be implemented by not only the time-domain
     approaches, but also a frequency-domain approach using an adaptive
     frequency sampling filter and a wavelet transform domain approach using
     an adaptive wavelet packet filter bank. Comparison of the three
     proposed approaches is given through numerical simulations and
     experiments.
 
       31/        84
TI = JERS-1 SAR image analysis by wavelet transform
AU = Yamaguchi, Y., Nagai, T., Yamada, H. (Fac. of Eng., Niigata Univ.,
     Japan)
SO = IEICE Trans. Commun. (Japan), vol.E78-B, no.12, 1617-21, Dec. 1995
PU = Inst. Electron. Inf. & Commun. Eng
AB = The wavelet transform provides information both in the spatial domain
     and in the frequency domain because of its inherent nature of space-
     frequency analysis. The paper presents a classification result of
     synthetic aperture radar imagery obtained by JERS-1 based on the
     discrete wavelet transform. The paper points out that the wavelet
     analysis has yielded a fine result in texture classification compared
     to a conventional method with less computation time.
 
       32/        84
TI = Optical Haar wavelet transforms with liquid crystal elements
AU = Zhan He, Honma, M., Masuda, S., Nose, T., Sato, S. (Dept. of Electr. &
     Electron. Eng., Akita Univ., Japan)
SO = Jpn. J. Appl. Phys. 1, Regul. Pap. Short Notes (Japan), vol.34, no.12A,
     6433-8, Dec. 1995
PU = Publication Office, Japanese Journal Appl. Phys
AB = Optical Haar wavelet transforms are achieved with liquid crystal (LC)
     elements: patterned-electrode liquid crystal cells serve as generators
     of optical Haar wavelets, and LC microlens arrays are used in the
     fabrication of shadow-casting systems. The phase modulation
     characteristics of the patterned electrode LC cells are investigated by
     applying a voltage, and the 1-dimension, 2-dimension rectangular and
     circular Haar wavelets are obtained by adjusting the voltage applied to
     the LC cells. A shadow-casting system composed of a LC microlens array
     is proposed. Due to the variability of the focal length of the LC
     microlens, good optical wavelet transforms can be achieved readily.
 
       33/        84
TI = An analysis of wind velocity fluctuations in the atmospheric surface
     layer using an orthonormal wavelet transform
AU = Hayashi, T. (Disaster Prevention Res. Inst., Kyoto Univ., Japan)
SO = Bound.-Layer Meteorol. (Netherlands), vol.70, no.3, 307-26, Aug. 1994
PU = Kluwer Academic Publishers
AB = A wavelet analysis can supply information of both the location (time)
     and the scale of fluctuations. This method is applied to the
     fluctuations of the natural wind and the turbulent transport of
     momentum in the atmospheric surface layer. The shapes of both the
     wavelet spectra and the Fourier spectra of the three components of the
     wind velocity fluctuations are similar to each other. The quadrant
     representation of momentum transport shows the scale difference of the
     transport. The large-scale fluctuations mainly contribute to the
     downward transport of momentum.
 
       34/        84
TI = An application of boundary element method analysis for Helmholtz wave
     equation in inhomogeneous media
AU = Tomioka, S., Kagata, M., Itoh, H., Nisiyama, S., Enoto, T. (Hokkaido
     Univ., Sapporo, Japan)
SO = Trans. Inst. Electr. Eng. Jpn. A (Japan), vol.115-A, no.11, 1098-104,
     Nov. 1995
PU = Inst. Electr. Eng. Japan
AB = Inhomogeneous terms in boundary element method (BEM) analysis are
     expressed by domain integration. This domain integration reduces the
     merits of BEM, which are small memory usage and low cost for
     calculation time. We show a new approach for transformation of the
     inhomogeneous term from domain integration into boundary integration,
     using the Helmholtz equation containing an inhomogeneous wave number
     (such as in a plasma with spatial density distribution). We attempt the
     correction from the fundamental solution of a homogeneous medium to
     that of an inhomogeneous medium by considering the phase distance
     between source and observation point and amplitude of energy in
     travelling that distance. In an inhomogeneous medium, the path of the
     wavelet is bent by the spatial distribution of the refractive index, in
     order to satisfy the Snell refraction law or Fermat`s principle. The
     phase distance is calculated by the integration along this bent path.
     The energy flux density of a travelling wavelet is treated as isotropic
     in the neighbourhood of the source points. However, it is not uniform
     at the observation point because of bent paths. We calculate the energy
     flux density at the observation point, considering the angle of
     radiation at the source point. These corrections lead to a boundary
     integral equation without the domain integral.
 
       35/        84
TI = Wavelet analysis of the energy transfer caused by convective terms:
     application to the Burgers shock
AU = Iima, M., Toh, S. (Div. of Phys. & Astron., Kyoto Univ., Japan)
SO = Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top. (USA),
     vol.52, no.6, PT.A, 6189-201, Dec. 1995
PU = APS through AIP
AB = Orthonormal wavelet analysis, which can deal with the information about
     both space and scale simultaneously, is applied to analyze the energy
     transfer due to spatial structures. To utilize the concept of "triad
     interaction" in non-Fourier bases, a simple and appropriate definition
     of transfer functions is proposed. An essential problem in the use of
     orthogonal wavelets is a fast oscillation observed in the temporal
     variations of energy and transfer functions. This oscillation is
     intrinsic to a wavelet base function and corresponds to "phase" in
     spatial information. A way to remove the phase is also proposed. These
     prescriptions are applied to examine the energy transfer process of the
     Burgers shock as a preliminary work. It is shown that the energy
     transfer is well separated into ones caused by the mean flow and the
     velocity held of the shock. Within a scale, those correspond to
     sweeping and compression, respectively. The mean flow contributes even
     to the energy transfer across a scale, but it is not substantial.
 
       36/        84
TI = Wavelet analysis for the plane turbulent jet (analysis of large eddy
     structure)
AU = Hui Li, Nozaki, T. (Dept. of Mech. Eng., Kagoshima Univ., Japan)
SO = JSME Int. J. B, Fluids Therm. Eng. (Japan), vol.38, no.4, 525-31, Nov.
     1995
PU = JSME
AB = In this study, wavelet analysis is applied to velocity signals of a
     plane turbulent jet, in order to investigate the eddy structure in the
     dimensions of time and scale. First, a review of the definitions and
     the basic properties of wavelet analysis are introduced, and a revised
     form of the Mexican hat and the wavelet power spectrum are proposed. To
     illustrate some typical behaviors of the wavelet coefficient phase, a
     numerically generated signal is analyzed. Then from the velocity
     signals of a jet on the centerline and in the mixing layer, the
     structural features of the eddy are analyzed in terms of instantaneous
     frequency and onset time/position. The results reveal that eddies of
     very different scale and the breakdown of a large eddy are displayed in
     the wavelet coefficient phase, as well as the successive branchings of
     a large eddy structure. Furthermore, it is found that the scale of the
     eddy and intermittency in the mixing layer can be obtained by wavelet
     analysis. The wavelet power spectra agree fairly well with the Fourier
     power spectra and just correspond to the actual kinetic energy per unit
     time at each wave number.
 
       37/        84
TI = Wavelet analysis of dispersive stress waves
AU = Kishimoto, K. (Fac. of Eng., Tokyo Inst. of Technol., Japan)
SO = JSME Int. J. A, Mech. Mater. Eng. (Japan), vol.38, no.4, 416-24, Oct.
     1995
AB = The time-frequency analysis of dispersive stress waves is reviewed. It
     is shown that the wavelet transform using the Gabor wavelet effectively
     decomposes the strain response into its time-frequency components, and
     the peaks of the time-frequency distribution indicate the arrival times
     of waves. The flexural waves induced in a beam by lateral impact are
     considered and it is shown that the wavelet transform enables us to
     identify the dispersion relation of the group velocity, and to estimate
     the impact location. In addition, the potential of using the wavelet
     transform for more detailed nondestructive evaluation of material
     damage is shown.
 
       38/        84
TI = Nonlinear time-frequency domain operators for decomposing sounds into
     loudness, pitch and timbre
AU = Abe, M., Ando, S. (Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan)
SO = 1995 International Conference on Acoustics, Speech, and Signal
     Processing. Conference Proceedings (Cat. No.95CH35732), 1368-71 vol.2,
     5 vol. 3662, 1995
PU = IEEE, New York, NY, USA
AB = We propose a method for decomposing instantaneous changes of sounds
     into three energy components, i.e., loudness, pitch, and timbre. These
     operators are derived from an eigenstructure analysis of the time-
     frequency gradient space (a 3-D space spanned by a modulus and partial
     derivatives of a wavelet transform). By several experiments, we found
     that they have superior resolution and sensitivity for segmenting
     speech into phonemes, characterizing dynamical nature of musical
     sounds, and so on.
 
       39/        84
TI = ECG data compression by multiscale peak analysis
AU = Nakashizuka, M., Kikuchi, H., Makino, H., Ishii, I. (Fac. of Eng.,
     Niigata Univ., Japan)
SO = 1995 International Conference on Acoustics, Speech, and Signal
     Processing. Conference Proceedings (Cat. No.95CH35732), 1105-8 vol.2, 5
     vol. 3662, 1995
PU = IEEE, New York, NY, USA
AB = The paper presents an ECG data compression technique using multiscale
     peak analysis. The authors define multiscale peak analysis as the
     wavelet maxima representation of which the basic wavelet is the second
     derivative of a symmetric smoothing function. The wavelet transform of
     an ECG shows maxima at the start, peak and stop points of five
     transient waves P through T. The number of wavelet maxima is expected
     to be less than the number of original data samples. The wavelet maxima
     can be enough to reconstruct original signals precisely. The wavelet
     maxima representation can lead to ECG data compression and analysis.
     The compressed data still keep the peaks of QRS waves, and abnormal
     behavior search will be feasible in practice. The result of the
     compression shows that a normal ECG data is compressed by a factor 10.
 
       40/        84
TI = Wavelet transform based ECG data compression with desired
     reconstruction signal quality
AU = Chen, J., Itoh, S., Hashimoto, T. (Dept. Electr. Eng., Univ. of Electro-
     Commun., Tokyo, Japan)
SO = Proceedings 1994 IEEE-IMS Workshop on Information Theory and Statistics
     (Cat. No.94TH8100), 84, xi+107, 1994
PU = IEEE, New York, NY, USA
AB = This paper proposes a new coding strategy by which the desired quality
     of reproduced signal can be guaranteed with the minimum cost of coding
     rate. The idea was successfully introduced to the DOWT-based coding
     system for the ECG compression application.
 
       41/        84
TI = On chaotic aspects of trees
AU = Fujimori, S., Endoh, T., Mitsuboshi, K., Ishiwata, K., Akasaka, M.,
     Hiruta, S. (Dept. of Electr. Eng., Tokai Univ., Kanagawa, Japan)
SO = ICSD'95. Proceedings of the 1995 IEEE 5th International Conference on
     Conduction and Breakdown in Solid Dielectrics (Cat. No.95CH3476-9), 185-
     9, xvi+720, 1995
PU = IEEE, New York, NY, USA
AB = All things degrade and breakdown, and we live in degraded circumstances
     or we use such things, for example, as electrical insulating materials
     in electrical engineering etc. Thus it is very important to study and
     estimate these degradation processes. Almost all cases of solid
     degradation processes, which are a kind of branching process, have been
     very difficult to analyze, due to their nonlinearity and complexity,
     until recent developments of computer and analysing methods such as
     fractal wavelet, chaotic concepts etc. were proposed. Under such
     conditions, fractal properties of tree phenomena which are a kind of
     degradation process of solid insulating materials have been studied and
     various characteristics obtained. As for the tree phenomena which is a
     typical branching process, we report some chaotic aspects based on
     Takens's reconstruction theorem. Thus, the trajectories reconstructed
     from a series of discharge current pulses accompanied with tree
     developments are discussed. In this work a different tree pattern from
     the previous are discussed and further study is based on wavelet
     analysis, thus, the trajectory of time dependent wavelet coefficients
     was reconstructed as well as current pulse data.
 
       42/        84
TI = Signatures of stirring and mixing in the Japan Sea surface temperature
     patterns in autumn 1993 and spring 1994
AU = Ostrovskii, A.G. (Res. Inst. for Appl. Mech., Kyushu Univ., Fukuoka,
     Japan)
SO = Geophys. Res. Lett. (USA), vol.22, no.17, 2357-60, 1 Sept. 1995
AB = A wavelet analysis of the NOAA satellite radiometry data shows a
     remarkable difference in the typical patterns of the sea surface
     temperature (SST) of the Japan Sea in autumn 1993 and spring 1994. The
     plumes of irregular shapes with characteristic horizontal scale of less
     than 30 km developed over the SST field at the beginning of the cooling
     season when the horizontal temperature gradients were essentially
     eroded. In contrast, very narrow and elongated up to 100 km streaks
     appeared at the beginning of the heating season when the temperature
     gradients were sharp. The spectral analysis of SST results in the power
     law behavior of k/sup -2.0/ in October and k/sup -2.8/ in May, for the
     scales ranging from 10 km to 100 km. This research suggests that the
     surface cooling in the autumn favors the enhancement of three
     dimensional mixing, while during the onset of heating the horizontal
     stirring becomes more pronounced at geostrophic turbulence scales.
 
       43/        84
TI = Wavelet spectra of JACEE events
AU = Suzuki, N., Biyajima, M., Ohsawa, A. (Matsusho Gakuen Junior Coll.,
     Matsumoto, Japan)
SO = Prog. Theor. Phys. (Japan), vol.94, no.1, 91-103, July 1995
AB = Pseudo-rapidity distributions of two high multiplicity events Ca-C and
     Si-AgBr observed by the JACEE are analyzed by a wavelet transform.
     Wavelet spectra of the events are calculated and compared with the
     simulation calculations. The wavelet spectrum of the Ca-C event
     somewhat resembles that simulated with the uniform random numbers. That
     of Si-AgBr event, however, is not reproduced by simulation calculations
     with Poisson random numbers, uniform random numbers, or a p-model.
 
       44/        84
TI = Flow instability during crystal growth from the melt
AU = Kakimoto, K. (Fundamental Res. Labs., NEC Corp., Ibaraki, Japan)
SO = Prog. Cryst. Growth Charact. Mater. (UK), vol.30, no.2-3, 191-215, 1995
AB = Quality of semiconductor and oxide crystals grown from the melts in
     Czochralski crystal growth systems is significantly affected by the
     heat and mass transfer in the melts during growth. This paper reviews
     the present understanding of this heat and mass transfer, especially
     melt convection, from the results of flow visualization by using model
     and real semiconductor melts to the details of numerical calculation
     needed for quantitative modeling of melt convection. The
     characteristics of flow instabilities of melt convection with a low
     Prandtl number are also reviewed by focusing on the baroclinic, the
     Rayleigh-Benard, and thermocapillary-Benard instabilities from the
     viewpoints of temperature and of the effect of rotation during crystal
     growth. The origin of the flow instabilities is also reviewed on the
     basis of geostrophic hydrodynamics, and the question whether silicon
     flow is completely turbulent or has an ordered structure is discussed.
     Magnetic suppression of melt flow is also reviewed, and some research
     on new approaches to growth from the melt including molecular dynamics
     and wavelet transformation are introduced.
 
       45/        84
TI = Multiple scattering of SH waves in 2-D elastic media with distributed
     cracks
AU = Murai, Y., Kawahara, J., Yamashita, T. (Earthquake Res. Inst., Tokyo
     Univ., Japan)
SO = Geophys. J. Int. (UK), vol.122, no.3, 925-37, Sept. 1995
AB = Computes synthetic seismograms of SH waves that are multiply scattered
     by randomly distributed cracks. All the cracks are assumed to have the
     same length and strike direction; the crack surfaces are assumed to be
     stress-free, or to undergo viscous friction. The authors analyse the
     deterministic wave equation, and rigorously treat multiple crack
     interactions. They first calculate the wavefield in the wavenumber
     domain, and then obtain the time-domain solution by its Fourier
     transform. A plane wave whose time dependence is described by the
     Ricker wavelet is assumed to be incident upon the region of crack
     distribution. The scattered waves are efficiently excited when the half-
     wavelength of the incident wave is close to or shorter than the crack
     length. High-wavenumber components are shown to be more abundant in the
     scattered waves when the crack distribution is denser. The time delay
     of the arrival of the primary wave, due to crack scattering, is
     prominent when the wavelength of the incident wave is much longer than
     the crack length. When the crack surfaces are subject to viscous
     friction, both the amplitudes of the scattered waves and the time delay
     of the primary-wave arrivals are smaller than those for the case of
     stress-free crack surfaces. When the crack distribution is
     statistically homogeneous, the calculated attenuation coefficient and
     phase velocity of the primary wave are generally consistent with those
     obtained by a stochastic analysis based on Foldy's (1945) approximation.
 
       46/        84
TI = Two-scale relations in one-dimensional crystals and wavelets
AU = Kaneda, K., Odagaki, T. (Dept. of Phys., Kyushu Univ., Fukuoka, Japan)
SO = J. Phys. A, Math. Gen. (UK), vol.28, no.15, 4389-406, 7 Aug. 1995
AB = We present a complete analysis of scale transformation of the Bloch
     functions and the Wannier functions in one-dimensional lattices, when a
     cell twice as large as the primitive cell is taken as the periodic
     unit. We obtain the Wannier functions for a free electron imposing an
     artificial periodicity and show that the Wannier functions satisfy the
     properties of the wavelets and wavelet packets of the multi-resolution
     analysis. We show that the coefficients appearing in the scale
     transformation of the Wannier functions for a free electron also serve
     as the expansion coefficients for the scale transformation of the Bloch
     functions and the Wannier functions in general one-dimensional
     lattices. Finally, we argue the importance of the translational
     symmetry based on the minimal primitive cell in determining the Wannier
     functions.
 
       47/        84
TI = Optical implementation of a wavelet transform by the use of dynamic
     holographic recording in a photorefractive material
AU = Joseph, J., Oura, T., Minemoto, T. (Dept. of Instrum. Eng., Kobe Univ.,
     Japan)
SO = Appl. Opt. (USA), vol.34, no.20, 3997-4003, 10 July 1995
AB = An optical system that employs holographic recording in a
     photorefractive material is proposed and experimentally demonstrated
     for the implementation of a wavelet transform of two-dimensional
     images. A scaling operation, to derive the family of wavelet filters
     from a mother wavelet filter, is performed by the use of an optical
     feedback loop. The selection of a desired wavelet filter from the
     family and the correlation for a wavelet transformation are made by the
     use of a holographic recording in a photorefractive material. The
     principle of operation of the system relies on the frequency detuning
     introduced inside the loop and the subsequent variation in the
     holographic grating diffraction. Experimental results on wavelet-filter
     selection and wavelet transformation are presented. This nonlinear
     optical wavelet-transform system is advantageous for pattern
     recognition applications.
 
       48/        84
TI = Gabor transform and intermittency in turbulence
AU = Katsuyama, T., Inoue, M., Nagata, K. (Dept. of Phys., Tokyo
     Metropolitan Univ., Japan)
SO = Phys. Rev. E, Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top. (USA),
     vol.51, no.6, PT.A, 5571-6, June 1995
AB = Intermittency effects basically limited to the viscous subrange
     contaminate the Gabor filtering analysis in the inertial subrange. The
     contamination decreases with an increase in the quality factor of the
     filter, and the Gabor transform coefficients of turbulent velocity have
     scaling properties approaching the Kolmogorov scaling. In the limit of
     an infinitely long inertial range, there is no anomalous scaling, i.e.,
     no non-Gaussianity. The wavelet transform coefficients of turbulent
     velocity and its structure functions follow probability rules depending
     on the scales extracted by analyzing wavelet functions. This anomalous
     scaling property is produced by the intermittency effects inherent in
     the viscous subrange. The structure functions cannot extract properties
     in a pure inertial subrange.
 
       49/        84
TI = Real-valued harmonic wavelets
AU = Mouri, H., Kubotani, H. (Meteorol. Res. Inst., Tsukuba, Japan)
SO = Phys. Lett. A (Netherlands), vol.201, no.1, 53-60, 15 May 1995
AB = We propose new families of orthonormal wavelets, constructed from
     simple functions, band-limited in the frequency domain, and real-valued
     in the space domain. Algorithms for their discrete computation, which
     will be useful in time-frequency analyses of nonlinear phenomena, are
     also described.
 
       50/        84
TI = Time correlation between entropy and/or energy distributed into scales
     by 2D wavelet in 2D free-convective turbulence
AU = Toh, S. (Dept. of Phys., Kyoto Univ., Japan)
SO = J. Phys. Soc. Jpn. (Japan), vol.64, no.3, 685-9, MARCH 1995
AB = To understand how entropy (T/sup 2//2) is cascaded to smaller scales
     and kinetic energy is transferred to larger scales, temporal evolutions
     of the entropies and the energies distributed into several scales by 2D
     wavelet are examined numerically. The correlation coefficient of
     entropy between adjacent scales has a sharp peak and the delay time
     giving this peak is scaled as k/sup -2/5/. The direction of energy
     transfer is not fixed but reverses occasionally between normal and
     inverse.
 
       51/        84
TI = Optical wavelet-matched filtering by four-wave mixing in
     photorefractive media
AU = Widjaja, J., Tomita, Y. (Dept. of Electron. Eng., Univ. of Electro-
     Commun., Tokyo, Japan)
SO = Opt. Commun. (Netherlands), vol.117, no.1-2, 123-6, 15 May 1995
AB = A novel real-time optical processor is proposed for implementing
     wavelet-matched filtering that uses four-wave mixing in photorefractive
     media. An edge enhancement property of the wavelet transform and an
     improved pattern recognition capability of the proposed method are
     demonstrated experimentally. The results verify the usefulness of the
     proposed method compared to the conventional matched filtering by four-
     wave mixing.
 
       52/        84
TI = Application of eddy current testing inspection to the first wall of
     fusion reactor with wavelet analysis
AU = Gangzhu Chen, Yoshida, Y., Miya, K., Uesaka, M. (Nucl. Eng. Res. Lab.,
     Tokyo Univ., Japan)
SO = Fusion Eng. Des. (Netherlands), vol.29, 309-16, 1995
AB = The eddy current testing (ECT) technique is introduced for the non-
     destructive evaluation of the first wall of a fusion reactor. With the
     aim of in-service inspection of the first wall, a method to evaluate
     cracks in the first wall is studied theoretically utilizing impedance
     signals and magnetic field data obtained from ECT. From the impedance
     signals, the depth of the cracks is determined using an impedance-depth
     calibrating curve. Since an impedance signal may be caused by some
     undesired factors as well as by a crack, an approach to extracting
     crack information from such a composite signal is developed using
     wavelet analysis. For reconstruction of the surface shape of the
     cracks, the magnetic field data are inverted into the distribution of
     the current vector potential T by solving an inverse problem and the
     wavelet coefficients of T are calculated to characterize the shape of
     the cracks. It is shown that the combination of ECT and wavelet
     analysis provides an efficient method of non-destructive evaluation of
     cracks in the first wall.
 
       53/        84
TI = Broad-band light-wave correlation topography using wavelet transform
AU = Itoh, M., Yamada, R., Tian, R., Tsai, M., Yatagai, T. (Inst. of Appl.
     Phys., Tsukuba Univ., Ibaraki, Japan)
SO = Opt. Rev. (Japan), vol.2, no.2, 135-8, MARCH-APRIL 1995
AB = The absolute longitudinal distance between two points can be determined
     by the corresponding correlation peaks of two light-waves from a broad-
     band light source. Using this technique, the height of three-
     dimensional objects can be measured without 2 pi phase ambiguity. We
     can also detect the absolute position of scattering seeds in sub-
     surface or bulk materials such as defects, dislocations or impurities
     of high purity materials. The wavelet analysis is used to determine the
     correlation peaks. This technique can be applied to measurement of
     thickness of a few hundred microns.
 
       54/        84
TI = Structure of heat transfer in the thermal layer growing in a fully
     developed turbulent flow
AU = Nagano, Y., Sato, H., Tagawa, M. (Dept. of Mech. Eng., Nagoya Inst. of
     Technol., Japan)
SO = Turbulent Shear Flows 9. Selected Papers from the Ninth International
     Symposium on Turbulent Shear Flows, 343-64, ix+471, 1995
PU = Springer-Verlag, Berlin, Germany
AB = An experimental investigation of the transport processes of heat has
     been made in the thermal entrance region of a fully developed turbulent
     pipe flow. Statistical quantities closely related to turbulent heat
     transfer have been measured and analyzed. Basic data presented can be
     used for assessing or developing a turbulence model for heat transfer.
     Turbulence quantities such as the temperature intermittency factor and
     the skewness and flatness factors of temperature fluctuations are found
     to have similarities in the growing thermal layer. Also, from the
     results of conditions analyses, the weighted probability density
     function of a turbulent heat flux, and the wavelet transform of
     velocity and temperature fluctuations, it becomes evident that the
     ejection-type fluid motions dominate the heat transfer in the outer
     intermittent region and play a key role in the evolution of the thermal
     boundary layer.
 
       55/        84
TI = An experimental system to detect focal length by using Haar wavelet
     transform
AU = Sugiura, A., Inatsu, M. (Fac. of Eng., Toyota Technol. Inst., Nagoya,
     Japan)
SO = Trans. Inst. Electron. Inf. Commun. Eng. D-II (Japan), vol.J78D-II,
     no.2, 213-20, Feb. 1995
AB = A new method for focal length detection by using the wavelet transform
     to improve efficiency has been proposed. We have adopted the Haar
     wavelet transform to apply this method to a digital signal system. This
     method can detect the focal length because of its measuring power at
     high-frequency components and hill-climbing control. First, we made a
     comparative study of conventional methods using computer simulations.
     Afterwards, we studied the effects of this experimental system. Since
     this method is in use as an integrator for the Haar unit base, the
     processing system has a much more simplified structure.
 
       56/        84
TI = Applications of high-resolution active-matrix liquid crystal spatial
     light modulators to parallel optical processing
AU = Itoh, Y., Hiraide, C., Kodate, K., Ogawa, K., Hashimoto, N., Morokawa,
     S. (Dept. of Math. & Phys. Sci., Japan Women's Univ., Tokyo, Japan)
SO = Proc. SPIE - Int. Soc. Opt. Eng. (USA), vol.2175, 200-7, 1994
AB = Real-time (video frame rate) optical correlation and wavelet
     transformation using high-resolution LCTV-SLMs and Fresnel zone plates
     (FZPs) have been studied. In the systems, the LCTV-SLMs are used as
     real-time optical filtering devices in Fourier planes and the Fresnel
     zone plates are used as Fourier transformation devices. In the
     experiment, good optical performance has been achieved. From the
     results, it is confirmed that the Fresnel zone plates are suitable
     devices for parallel optics and using them, they can be extended
     parallel optical systems easily.
 
       57/        84
TI = Reconstruction of defects from the distribution of current vector
     potential T using wavelets
AU = Gangzhu Chen, Yoshida, Y., Miya, K., Kurokawa, M. (Nucl. Eng. Res.
     Lab., Tokyo Univ., Japan)
SO = Int. J. Appl. Electromagn. Mater. (Netherlands), vol.5, no.3, 189-99,
     Oct. 1994
AB = In this paper, we propose a new method to reconstruct two-dimensional
     defects. The method is a combination of the eddy current testing
     technique and the wavelet theory. In the present method, the defects
     are reconstructed through detecting the discontinuities of the eddy
     current field. The distribution of the current vector potential T is
     first determined by using the magnetic field data from eddy current
     testing; then, the T distribution is decomposed into wavelets to detect
     the discontinuities of the eddy current field. With the detected
     discontinuities, the shape and size of the defects can be reconstructed
     accurately.
 
       58/        84
TI = The Wigner transform of soliton solutions for the nonlinear Schrodinger
     equation
AU = Konno, H., Lomdahl, P.S. (Inst. of Mater. Sci., Tsukuba Univ., Japan)
SO = J. Phys. Soc. Jpn. (Japan), vol.63, no.11, 3967-73, Nov. 1994
AB = The Wigner function, a kind of wavelet transform is studied for one-
     and two-soliton solutions to the nonlinear Schrodinger equation. The
     exact expression of the Wigner transform for the one-soliton solution
     is obtained. The features of soliton-soliton interaction of different
     two-soliton states, the states of coherence analogous to that of two-
     localized wave packets in quantum mechanics, are displayed. Suitability
     of this transform for analyzing "soliton" in open systems is also
     discussed.
 
       59/        84
TI = Vertical structure of atmospheric gravity waves revealed by the wavelet
     analysis
AU = Sato, K., Yamada, M. (Center for Climate Syst. Res., Tokyo Univ., Japan)
SO = J. Geophys. Res. (USA), vol.99, no.D10, 20623-31, 20 Oct. 1994
AB = It is well known that the vertical wavenumber (m) spectra of
     temperature and horizontal wind fluctuations have a steep slope (almost
     proportional to m/sup -3/) in the middle atmosphere. These spectra are
     considered to be due to saturated gravity waves. However, since power
     spectral analysis assumes sinusoidal waves with constant amplitudes in
     the height region for which the spectra are calculated, the information
     on the height position, where the disturbance having each wavenumber is
     dominant, is lost. In this paper the dominant height position is
     examined using a wavelet method. An analysis is made of temperature
     observation data by radiosondes and wind data by a mesosphere,
     stratosphere, and troposphere (MST) radar in the lower stratosphere. It
     is shown that the height where the variance is largest increases with
     the wavenumber. This variation with wavenumber is explained well by a
     monochromatic inertia-gravity wave whose vertical wavenumber changes
     due to the vertical shear of the large-scale background wind during its
     vertical propagation.
 
       60/        84
TI = An algorithm for making a correspondence of zero-crossing points in a
     wavelet transform domain with a second-order derivative property
AU = Watanabe, S., Cheong, C., Saito, T., Aizawa, K. (Fac. of Eng., Kanagawa
     Univ., Yokohama, Japan)
SO = Trans. Inst. Electron. Inf. Commun. Eng. A (Japan), vol.J77-A, no.8,
     1084-95, Aug. 1994
AB = Multi-scale wavelet transform (MWT) is a promising technique for multi-
     scale signal analysis. In particular, the zero-crossing points produced
     by the MWT with the property of second derivative appear at edge points
     of the original signal. Most of the image contents are conveyed by edge
     information. Hence, if we obtain a correspondence of zero-crossing
     points between consecutive lines or frames, we may utilize the
     correspondence to advance various facets of image processing. Firstly,
     this paper deals with algorithms for making a correspondence of zero-
     crossing points in the MWT domain between consecutive scales or between
     two signals with remarkable likeness. Particularly with regard to the
     correspondence between two like signals, we consider various factors
     which qualify the property of the correspondence, and thus we define
     the cost-function. Secondly, we construct a method of evaluating the
     goodness of the behavior of the correspondence algorithm subjectively
     by applying the statistical concept of the cross validation to the
     interline correspondence problem, and experimentally show both the
     usefulness and the disadvantage of the proposed correspondence
     algorithm.
 
       61/        84
TI = New analysis of HRV through wavelet transform
AU = Tsuji, H., Mori, H. (Commun. Res. Lab., Minist. of Posts & Telecommun.,
     Tokyo, Japan)
SO = Int. J. Hum.-Comput. Interact. (USA), vol.6, no.2, 205-17, APRIL-June
     1994
AB = This article introduces a new analysis of heart rate variability (HRV)
     using the wavelet transform (WT) in place of conventional methods. This
     transform maps the signal into a two-dimensional function on a time-
     scale plane. It allows us to precisely determine the location and the
     power of the HRV spectrum. We apply this method to empirical data
     containing several stress factors and detect a decrease in power at
     high frequencies when subjects hyperventilate. We can use this method
     to detect peaks of power at lower frequencies. We analyze the WT
     results statistically to determine the relationship between frequency
     bands at each condition. The correlation coefficients for the WT
     results between scales change when the stress factors are given. This
     method reveals the characteristics of the power spectrum at lower
     frequencies. These are known to play an important role in the
     modulation of the sympathetic nervous system. This method can be useful
     in studying computer users' stress responses under different working
     conditions.
 
       62/        84
TI = Wavelet analysis of meteorological variables under winter thunderclouds
     over the Japan Sea
AU = Takeuchi, N., Narita, K., Goto, Y. (Dept. of Electr. Eng., Tohoku
     Univ., Sendai, Japan)
SO = J. Geophys. Res. (USA), vol.99, no.D5, 10751-7, 20 May 1994
AB = To investigate a winter thundercloud structure, the authors have been
     acquiring data on the electrostatic field and the meteorological
     variables over a full winter season. The obtained data were
     investigated by a wavelet transform method that is a mathematical
     technique introduced recently for analyzing seismic and acoustic
     signals. Microscopic variations in time series of the pressure and the
     wind speed are extracted from nonprocessed ones using a moving average
     method, then analyzed by a wavelet method. For each variable, wavelet
     transform coefficients (modulus) are displayed using gray scales as its
     grade. These figures provide a clearly interpretable visual
     representation of time series signals. Namely, it is easily understood
     what significant scales exist at the concerned time. Mutual correlation
     coefficients of modulus between the pressure and the wind speed
     variation are also calculated to clarify how these two variables are
     related to each other. A scale parameter and a phase shift in time are
     adopted as 2D coordinates in the same manner as the wavelet transform.
     This figure shows whether there is a strong correlation between the two
     variables or not, and if so, its time and/or position. When
     thunderclouds pass near the observation station, characteristic
     oscillations are detected in a pressure variation. A strong correlation
     between the pressure and the wind speed has been proved by a method of
     a wavelet transform method. On the other hand, when the climate is
     quiet, there is no correlation.
 
       63/        84
TI = Generation of optical Haar wavelets by zone plates
AU = Zhan He, Susumu Sato (Dept. of Electron., Akita Univ., Japan)
SO = Opt. Lett. (USA), vol.19, no.10, 686-8, 15 May 1994
AB = Optical Haar wavelets are generated by zone plates that are designed to
     realize the bipolar nature of Haar wavelets. We present a circular Haar
     wavelet in two-dimensional space, which can extract the edge and corner
     features simultaneously, and characterize its properties with computer
     simulations. A comparison with rectangular Haar wavelets is also given.
 
       64/        84
TI = Signal reconstruction from modified auditory wavelet transform
AU = Irino, T., Kawahara, H. (Basic Res. Labs., NTT, Tokyo, Japan)
SO = IEEE Trans. Signal Process. (USA), vol.41, no.12, 3549-54, Dec. 1993
AB = The authors propose a new method for signal modification in auditory
     peripheral representation: an auditory wavelet transform and algorithms
     for reconstructing a signal from a modified wavelet transform. They
     present the characteristics of signal analysis, synthesis, and
     reconstruction and also the data reduction criteria for signal
     modification.
 
       65/        84
TI = Wavelet transform analysis of slightly rough surfaces
AU = Dogariu, A., Uozumi, J., Asakura, T. (Res. Inst. for Electron. Sci.,
     Hokkaido Univ., Sapporo, Japan)
SO = Opt. Commun. (Netherlands), vol.107, no.1-2, 1-5, 1 APRIL 1994
AB = The diffuse component of the light scattered by a slightly rough
     surface is described in terms of the two-dimensional wavelet transform
     of the surface height variation. From the values of the integrated
     intensity in the transform domain, the autocorrelation function of the
     surface height variation can be directly obtained.
 
       66/        84
TI = Evaluation of correspondence between sensitive information and physical
     parameters on drums timbre
AU = Uenoyama, T., Kashimura, M., Ozawa, S. (Fac. of Sci. & Technol., Keio
     Univ., Yokohama, Japan)
SO = J. Acoust. Soc. Jpn. (Japan), vol.49, no.10, 671-81, Oct. 1993
AB = In this decade, as digital signal processing technology is getting
     developed, the digital music synthesizer with high-quality and various
     timbre, which employs a digital analysis-synthesis, has become popular.
     Most current analysis-synthesis system in such synthesizers treat only
     physical parameters which have no correspondence to subjective human
     expression. From the point of view of a man-machine interface, it is
     desirable to emply a system which treats subjective expression of
     human. Recently, it has been required to develop such a processing
     system. To build such system, the numerical correspondence information
     between physical parameters and sensitive information becomes
     necessary. In this paper, the correspondence information between
     physical parameters and sensitive information is obtained. It has been
     difficult to analyze or synthesize a drum tone for high quality. In
     this paper, an analysis-synthesis system based on wavelet transform is
     proposed. Using the SD method, numerical sensitive information of
     humans for timbre is obtained. Moreover, two application systems using
     the correspondence information are proposed. The first is a timbre-
     evaluation system for subjective expression, and the second one is a
     timbre-processing system. Using these application systems, the
     appropriateness of the correspondence information is verified.
 
       67/        84
TI = Detection of anomalous seismic phases by the wavelet transform
AU = Yomogida, K. (Dept. of Earth and Planetary Syst. Sci., Hiroshima Univ.,
     Japan)
SO = Geophys. J. Int. (UK), vol.116, no.1, 119-30, Jan. 1994
AB = Strong motion data at La Union, one of three near-fault stations of the
     Michoacan, Mexico, earthquake in 1985, are analysed by a wavelet
     transform in order to identify a clear later energy arrival whose
     frequency content and particle motion are quite different from the main
     part of the seismograms. The author used an orthonormal set of
     analysing wavelets, a discrete wavelet transform, proposed by Meyer and
     Yamada, with which an efficient computational procedure can be achieved
     utilizing the fast Fourier transform. Results of an application of the
     above wavelet transform to three-component velocity data of La Union
     are summarized as follows. A vertical seismogram does not contain any
     distinguishable later energy arrivals for the entire frequency range
     recorded. The major energy arrives in the time interval between 10 and
     30 s. In contrast, an east-west component seismogram shows a peculiar
     later arrival more than 10 s later than the main energy arrival, and
     the present wavelet analysis shows that this later phase is
     characterized by an arrival time of 38 s and a frequency range from 0.1
     to 1 Hz where the amplitude of the later phase is even larger than the
     main part. This example clearly demonstrates the potential of wavelet
     transforms to identify objectively any phase in seismograms localized
     in both time and frequency. From the information on its particle
     motion, the above phase corresponds to a heterogeneous and delayed
     break of one stronger portion on a fault on which the rupture was very
     smooth or 'crack-like' elsewhere.
 
       68/        84
TI = Wavelet analysis of anharmonic self-localized modes
AU = Hori, K. (Graduate Sch. Major of Mater. Sci., Fac. of Eng. & Design,
     Kyoto Inst. of Technol, Japan)
SO = J. Phys. Soc. Jpn. (Japan), vol.62, no.6, 1819-22, June 1993
AB = A wavelet analysis is made for one-dimensional anharmonic self-
     localized modes by decomposition of their time evolution signals. For a
     localized mode with eigenfrequency above the top of the harmonic
     frequency band, the finest-resolution wavelet coefficients are
     sufficient for analysis of the position of the center point of the
     mode, and the degree of mode localization.
 
       69/        84
TI = The recognition system with two channels at different resolution for
     detecting spike in human EEG
AU = Zheng-Wei Tang, Ishii, N. (Fac. of Eng., Nagoya Inst. of Technol.,
     Japan)
SO = IEICE Trans. Inf. Syst. (Japan), vol.E76-D, no.3, 377-87, MARCH 1993
AB = The properties of the Haar transform (HT) are discussed, based on the
     wavelet transform theory. A system with two channels at resolution
     2/sup -1/ and 2/sup -2/ for detecting paroxysm-spike in human's EEG is
     presented according to the multiresolution properties of the HT. The
     system adopts a coarse-to-fine strategy. Three features of spikes are
     extracted by investigating its intrinsic properties based on the HT. In
     the case of having no knowledge of prior probability of the presence of
     spike, the Neyman-Pearson criteria is applied to determining thresholds
     on the basis of the probability distribution of background and spike,
     obtained by the results of statistical analysis to minimize error
     probability. The HT coefficients at resolution 2/sup -2/ and 2/sup -1/
     can be computed individually and the data are compressed by 4:1 and 2:1
     respectively. A half wave is regarded as the basic recognition unit so
     as to be capable of detecting negative and positive spikes
     simultaneously. The system provides a means of pattern recognition for
     nonstationary signal including sharp variation points in the transform
     domain.
 
       70/        84
TI = Signal reconstruction from modified wavelet transform-An application to
     auditory signal processing
AU = Irino, T., Kawahara, H. (NTT Basic Res. Labs., Tokyo, Japan)
SO = ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech and
     Signal Processing (Cat. No.92CH3103-9), 85-8 vol.1, 5 vol. 3219, 1992
PU = IEEE, New York, NY, USA
AB = A novel method of signal reconstruction from a modified auditory
     representation is presented. This consists of three parts: (1) an
     algorithm to reconstruct a signal from its modified wavelet transform
     with a general wavelet; (2) obtaining an auditory representation using
     an auditory wavelet transform whose analyzing wavelet is the impulse
     response of an auditory peripheral model; and (3) estimating the
     reconstruction algorithm both with and without data reduction. An
     example of its application to the time-scale modification of speech is
     presented. High-quality speech successfully generated by time-scale
     modification shows that the reconstruction method is suitable for
     various applications as well as making experimental auditory stimuli.
 
       71/        84
TI = An application of wavelet transform to ultrasonic measurements of
     random media
AU = Kikuchi, T., Sato, S. (Electrotech. Lab., Ibaraki, Japan)
SO = IEEE 1991 Ultrasonics Symposium Proceedings. (Cat. No.91CH3079-1), 1171-
     6 vol.2, 2 vol. 1386, 1991
PU = IEEE, New York, NY, USA
AB = The application of wavelet transform for a high resolution ultrasonic
     measurement is described. Wavelet transform is one of the time-
     frequency analysis methods and is suitable for finding abrupt changes
     in the waveform. The authors have been trying to apply this method for
     detecting separating positions of scatterers in random media. It has
     been found by calculations and experiments that this method can be used
     for characterization of random media.
 
       72/        84
TI = Speech information and acoustic signal processing technology
AU = Kobayashi, Y., Sugamura, N., Touyama, M., Koizumi, N. (Human Interface
     Labs., NTT Corp., Tokyo, Japan)
SO = NTT R & D (Japan), vol.41, no.11, 1269-78, 1992
AB = The paper outlines the major recent research activities at NTT
     Laboratories into creating new communication services using speech
     information and acoustic signal processing technology. It focuses on
     text-to-speech synthesis based on wavelet compilation of phoneme
     segments, a speech recognition PC board and an HMM-based speaker-
     independent word spotting board, speech coding techniques for the
     telephone, wideband speech and sound signals, acoustic signal
     processing including an echo canceller, and sound image control for
     super realistic telecommunications.
 
       73/        84
TI = Statistical analysis of letter-cognition-related evoked potentials
     using the wavelet transform
AU = Nagae, N., Itoh, S., Utsunomiya, T. (Fac. of Sci. & Technol. Sci.,
     Tokyo Univ. Noda, Japan)
SO = Trans. Inst. Electron. Inf. Commun. Eng. D-II (Japan), vol.J75D-II,
     no.9, 1624-5, Sept. 1992
AB = The visual evoked potentials related to letter cognition is
     quantitatively analysed using wavelet transforms. The results show that
     the evoked potential response related to letter-cognition in brain
     covers a wide range of frequency, latency and scalp location.
 
       74/        84
TI = Experimental studies on ultrasonic measurements of scattering media by
     using wavelet transform
AU = Kikuchi, T., Sato, S. (Electrotech. Lab., Ibaraki, Japan)
SO = Jpn. J. Appl. Phys. Suppl. (Japan), vol.31, SUPPL.31-1, 115-17, 1992
AB = The authors describe the application of wavelet transform for a high
     resolution ultrasonic measurement. Wavelet transform is one of the
     methods of time-frequency analysis and is suitable for finding abrupt
     changes in the waveform. They have been trying to apply this method for
     detecting positions of point scatterers in random media, and it was
     found by calculations and experiments that this method can be used for
     characterization of random media.
 
       75/        84
TI = Further evidence of triggering chorus emissions from wavelets in the
     hiss band
AU = Hattori, K., Hayakawa, M., Lagoutte, D., Parrot, M., Lefeuvre, F. (
     Solar-Terrestrial Environ. Lab., Nagoya Univ., Toyokawa, Japan)
SO = Planet. Space Sci. (UK), vol.39, no.11, 1465-72, Nov. 1991
AB = Reports spectral analyses and direction finding for ELF data containing
     simultaneous hiss and chorus in the outer magnetosphere. Each chorus
     element has a tendency to originate from the hiss band and is
     asymptotic to the hiss band; the intensity and occurrence of the chorus
     are closely correlated with the intensity of the underlying hiss; the
     hiss band exhibits structures or wavelets (i.e. monochromatic wave
     components with significant duration), and the causative wavelet is
     observed at the foot of each chorus element; when triggering chorus is
     expected from a wavelet near the upper edge of the hiss band, the
     duration of the wavelet increases with decreasing intensity; and very
     similar phi (azimuthal angle) values are noticed for both the hiss and
     chorus. These facts imply that a wavelet existing near the upper edge
     of the hiss band can generate a chorus emission through coherent wave-
     particle interaction in the outer magnetosphere.
 
       76/        84
TI = An identification of energy cascade in turbulence by orthonormal
     wavelet analysis
AU = Yamada, M., Ohkitani, K. (Disaster Prevention Res. Inst., Kyoto Univ.,
     Uji, Japan)
SO = Prog. Theor. Phys. (Japan), vol.86, no.4, 799-815, Oct. 1991
AB = Orthonormal wavelet expansion method is applied to an analysis of
     atmospheric turbulence data which shows more than two decades of the
     inertial subrange spectrum. The result of the orthonormal wavelet
     analysis of the turbulence data is discussed in comparison with those
     of an artificial random noise. The local wavelet spectra of turbulence
     show a characteristic structure, which is absent in the artificial
     random noise and is identified with the trace of the energy cascade
     process. The higher-order structure function of velocity, obtained by
     the wavelet analysis shows the intermittent structure of the flow field.
 
       77/        84
TI = Orthonormal wavelet analysis of turbulence
AU = Yamada, M., Ohkitani, K. (Disaster Prevention Res. Inst., Kyoto Univ.,
     Uji, Japan)
SO = Fluid Dyn. Res. (Netherlands), vol.8, no.1-4, 101-15, Oct. 1991
AB = The orthonormal wavelet expansion method is applied to data of
     atmospheric turbulence extending over more than two decades in
     Kolmogorov's inertial subrange. First, the orthonormal wavelet
     expansion is described and a numerical scheme for the expansion
     coefficients is proposed. Then, by the use of the orthonormal wavelets,
     several characteristics of turbulence are discussed in comparison with
     those of artificial, random noise. In particular, the local wavelet
     spectra of turbulence show a similarity structure, which is absent in
     the artificial random noise and is identified with the trace of the
     energy cascade process.
 
       78/        84
TI = STM investigations of the grain surface of Bi/sub 0.8/Pb/sub x/Sr/sub
     1/Cu/sub 1.6/O/sub 8+y/ superconductors
AU = Chao, C., Arai, S. (Tokyo Denki Univ., Japan)
SO = Advances in Superconductivity II. Proceedings of the 2nd International
     Symposium on Superconductivity (ISS '89), 529-32, xxxi+1085, 1990
PU = Springer-Verlag, Tokyo, Japan
AB = Scanning tunneling microscopy was used to investigate the surface
     topographs of bared crystal grains in Pb-free or Pb-doped Bi/sub
     0.8/Pb/sub x/Sr/sub 1/Ca/sub 1/Cu/sub 1.6/O/sub 8+y/, x=0.0
     approximately 0.5, bulk superconductors. Images with a scanning
     electron microscopy resolution revealed that the profiles of the grain
     surface was in the form of a periodic rugged wavelet with the amplitude
     of 10 nm and the length of 20 nm. This result was considered to provide
     direct proof for the percolation processes between randomly oriented
     grains and grain boundaries in bulk superconductors.
 
       79/        84
TI = Orthonormal wavelet expansion and its application to turbulence
AU = Yamada, M., Ohkitani, K. (Disaster Prevention Res. Inst., Kyoto Univ.,
     Uji, Japan)
SO = Prog. Theor. Phys. (Japan), vol.83, no.5, 819-23, May 1990
AB = Orthonormal wavelet expansion is applied to experimental data of
     turbulence. A direct relation is found between the wavelet spectrum and
     the Fourier spectrum. The orthonormal wavelet analysis with conditional
     sampling is applied to data of wind turbulence, yielding Kolmogorov's
     spectrum (1962) and the dissipation correlation with the intermittency
     exponent mu approximately=0.2.
 
       80/        84
TI = Seismic waves traveling through a dike-like structure
AU = Motoya, Y. (Res. Center for Earthquake Prediction, Fac. of Sci.,
     Hokkaido Univ., Sapporo, Japan)
SO = J. Phys. Earth (Japan), vol.37, no.3, 233-8, 1989
AB = In this letter the authors report a characteristic wavelet observed at
     Hidaka (HIC) station, one of the seismographic stations operated by the
     Research Center for Earthquake Prediction, Hokkaido University. A main
     shock-aftershock sequence occurred near HIC on June 17, 1980. All the
     six events of the sequence observed at HIC showed a small but
     conspicuous wavelet before the large main phase. The characteristics of
     the wavelet are summarized. In order to explain the characteristics of
     the wavelet, the authors assume a P wave transmitting through a bar-
     like structure; the quantity of both amplitudes and periods of incident
     seismic waves might turn to the characteristic one which is dependent
     on the shape of the bar. The authors performed a laboratory model
     experiment to simulate the generation of the wavelet.
 
       81/        84
TI = A rigorous solution of two-dimensional diffraction based on the Huygens-
     Fresnel principle
AU = Nonogaki, S. (Central Res. Lab., Hitachi Ltd., Tokyo, Japan)
SO = Jpn. J. Appl. Phys. 1, Regul. Pap. Short Notes (Japan), vol.28, no.5,
     786-90, May 1989
AB = The problem of two-dimensional diffraction of light by a slit is solved
     rigorously on the basis of the Huygens-Fresnel principle assuming the
     amplitude of a secondary wavelet emitted from an infinite strip of
     infinitesimal width on the slip aperture to be proportional to cos (
     theta /2)/ square root r, where theta is the angle of diffraction and r
     the distance from the strip. The solution of the problem where a plane-
     wave of light is normally incident on a slit in a perfectly black
     screen is expressed in terms of the Fresnel integral. With slight
     modification, the method is also applicable to the diffraction in a
     light-absorbing medium.
 
       82/        84
TI = Performance of a linear array transducer of vinylidene fluoride
     trifluoroethylene copolymer
AU = Kimura, K., Hashimoto, N., Ohigashi, H. (Toray Ind. Inc., Kamakura,
     Japan)
SO = IEEE Trans. Sonics & Ultrason. (USA), vol.SU-32, no.4, 566-73, July
     1985
AB = A 5-MHz 64-element linear transducer composed of vinylidene fluoride
     and trifluoroethylene copolymer (P(VDF-TrFE)) has been developed and
     its performance studied. The transducer has high resolution in both
     lateral and depth directions and has energy conversion efficiency high
     enough to be used for practical applications. The electroacoustic
     conversion loss (CL) and the pulse-echo ring-down period are found. The
     experimental values are in good agreement with theoretical ones
     calculated with Mason's equivalent circuit in which the internal losses
     of a piezoelectric material are taken into account. The ultrasonic
     field distribution from the array is also in good agreement with the
     simulations obtained using a numerical Huygens' wavelet approach for
     pulse waves. The maximum cross-coupling voltage between the nearest
     neighbor elements 10% of the driving voltage. This degree of cross-
     coupling does not appreciably degrade the ultrasonic field
     distribution. A medical echogram taken with this transducer is shown.
     It s lateral and depth resolutions on the focal plane are 1.5 mm and
     0.75 mm, respectively.
 
       83/        84
TI = Ion scattering at the surface-elastic and inelastic scattering, and
     neutralization
AU = Ohtsuki, Y. (Dept. of Phys., Waseda Univ., Tokyo, Japan)
SO = J. Vac. Soc. Jpn. (Japan), vol.26, no.2, 61-8, 1983
AB = Ion motion caused by potentials on a solid surface has not yet been
     elucidated, although the motion is a matter of great importance. This
     paper deals with: (1) local stopping power in inelastic scattering of
     ion beams; (2) surface plasmon excitations due to motion of valence
     electrons; (3) wavelet potentials generated when ions go out from a
     solid surface; (4) ion neutralization by resonance process; and (5) the
     probability of ion neutralization by Auger process.
 
       84/        84
TI = Reconstructed images from volume holograms in the Fraunhofer
     approximation: analysis by a new spherical-wave expansion
AU = Shono, Y. (Dept. of Electrical Engng., Aoyama Gakuin Univ., Tokyo,
     Japan)
SO = J. Opt. Soc. Am. (USA), vol.66, no.6, 564-74, June 1976
AB = The new 'circular plane-wave' expansion which is presented enables a
     spherical wave and a Huygens's spherical wavelet to be expanded to the
     sum of circular plane waves. Volume holograms may be analysed, using
     this method to expand the object wave, and the reconstructed images
     formulated. The method of analysis is used to study weakly coupled
     amplitude holograms in the Fraunhofer approximation. Except in the case
     of exact reconstruction, both amplitude and phase of the reconstructed
     waves are modulated, in a manner determined by the hologram thickness
     and the recording and reconstruction parameters. For a semi-transparent
     object illuminated by a spherical wave, the volume hologram is shown to
     cause a space-variant bandpass filter effect, with respect to the
     amplitude modulation, whilst for an object illuminated by a plane wave,
     the effect is of a space-invariant bandpass filter. Aberrations result
     from the phase modulation, which is small for a thick hologram.
 
.