QD-an algorithm for non-linear inverse filtering

Statistical methods for parameter estimation are often based on a Gaussian assumption. In this paper we describe a signal model based on an assumption of uniform distributions. This signal model leads to a simple, non-linear algorithm, called QD, for parameter estimation. The QD algorithm can be applied to adaptive, inverse filtering of speech signals. The technique used is to sequentially estimate the reflection coefficients of a lattice structure. Some of the results of one such application are discussed and compared to those obtained with other methods.