A REDUCED COMPLEXITY RECURSIVE LEAST SQUARE LATTICE STRUCTURE ADAPTIVE FILTER BY MEANS OF LIMITED RECURSION OF THE BACKWARD AND FORWARD ERROR PREDICTION SQUARES

摘要

A method for reducing a computational complexity of an m-stage adaptive filter is provided by updating recursively forward and backward error prediction square terms for a first portion of a length of the adaptive filter, and keeping the updated forward and backward error prediction square terms constant for a second portion of the length of the adaptive filter.