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Minimum-variance and maximum-likelihood recursive waveshaping

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1 Author(s)
Mendel, J.M. ; University of Southern California, Los Angeles, California

In this paper we develop optimal recursive waveshaping filters in the framework of estimation theory and state-variable models. We develop a linear minimum-variance waveshaper and a nonlinear maximum-likelihood waveshaper. Both waveshapers are comprised of two components:(1) stochastic inversion and (2) waveshaping. The former is performed by means of minimum-variance deconvolution. Simulation results are given which illustrate results that can be obtained by both waveshapers. In retrospect, we view the minimum-variance results of this paper as the recursive counterparts to those presented by Treitel and Robinson (13), which are for finite-impulse response waveshaping.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.  (Volume:7 )

Date of Conference:

May 1982