ASA 128th Meeting - Austin, Texas - 1994 Nov 28 .. Dec 02

3pSP3. Composite wavelet transform as an auditory model.

Wade Trappe

Joseph D. Lakey

Appl. Res. Labs., Univ. of Texas at Austin, P.O. Box 8029, Austin, TX 78713-8029

Dept. of Math., Univ. of Texas at Austin, Austin, TX 78712

Motivated by the human auditory system, a new signal transform is presented which models the way humans hear. Cochlear processing acts like a constant bandwidth bank of filters in the low-frequency range but is of proportional bandwidth at higher frequencies. This new transform, which we call the composite wavelet transform, is better able to model this process than standard signal processing techniques such as the short-time fourier transform (STFT) and the continuous wavelet transform (CWT). The composite wavelet transform in fact provides a signal analysis tool that is able to examine signals with competing signal structures whereas the STFT and the CWT do not. Numerical results for this transform are presented along with a comparison to the STFT and the CWT.