Patent
1993-02-16
1995-02-07
Knepper, David D.
395 212, 395 22, G10L 702
Patent
active
053881826
ABSTRACT:
WAM.TM. is a new method of digitally coding and decoding acoustic signals for data compression and noise reduction. The method comprises constructing a filter bank using wavelet transforms of a basic filter impulse function to represent the response of the mammalian cochlea. Data compression is obtained by truncation of a discrete representation. Reconstruction relies on the theory of frames and produces a reconstruction method and apparatus based on irregular sampling methods which produces good quality results in a very few stages. Actual reconstructions show very good data compression and noise reduction performance.
REFERENCES:
Hirahara et al., "A Computational Cochlear Nonlinear Preprocessing Model With Adaptive Q Circuits", Proceedings of ICASSP, 23-26 May 1989.
Avellana et al., "VLSI Implementation of a Cochlear Model", Proceedings of Euro ASIC 27-31 May 1991, IEEE, pp. 45-48.
Friedman, "Implementation of A Nonlinear Wave-Digital-Filter Cochlear Model", ICASSP 3-6 Apr. 1990, IEEE, pp. 397-400 vol. 1.
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Charles K. Chui, An Introduction to Wavelets. Academic Press, 1992.
John J. Benedetto, "Irregular Sampling and Frames," in C. Chui (editor), Wavelets: A Tutorial in Theory and Applications, Academic Press, 1992.
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Alan V. Oppenheim and Ronald W. Schafer, Digital Signal Processing (Prentice Hall, Englewood Hills, N.J. 1975), Ch. 7.
R. R. Pfeiffer and D. O. Kim, "Cochlear Nerve Fiber Responses: Distribution Along the Cochlear Partition," J. Acoust. Soc. Am., 58:867-869, 1975.
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S. Mallat and S. Zhong, "Wavelet Transform Maxima and Multiscale Edges," in M. B. Ruskai, et al. (editors), Wavelets and Their Applications (Jones and Bartlett, Boston, 1992).
Benedetto John J.
Teolis Anthony
Knepper David D.
Prometheus, Inc.
Williams Frederick C.
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