WAM is based on a minimal model of the early auditory transformations as described briefly in Thrust area I(A). The model combines a wavelet transform, followed by compression and a lateral inhibitory network, and includes irregular sampling signal reconstruction methods based on the theory of frames for a ``decoding'' part of a possible vocoder application. This model is patented by Prometheus Inc. as a ``Nonlinear Method and Apparatus for Coding and Decoding Acoustic Signals with Data Compression and Noise Suppression Using Cochlear Filters, Wavelet Analysis, and Irregular Sampling Reconstruction'' by John J. Benedetto and Anthony Teolis (patent #5388182, issued Feb. 7, 1995). Our initial efforts will focus on a DSP implementation of the algorithm to acquire adequate feel for the appropriate parameter ranges needed.