A highly modular normalized adaptive lattice algorithm for multichannel least squares filtering

Abstract

A highly modular normalized adaptive lattice algorithm for multichannel least squares FIR filtering and multivariable system identification, is presented. Multichannel filters with different numbers of delay elements per input channel are allowed. The main features of the proposed multichannel adaptive lattice least squares algorithm are the use of scalar only operations, multiplications/divisions and square roots, and the local communication which enables the development of a fully pipelinable architecture.