A rotation based multichannel least squares lattice algorithm for adaptive nonlinear filters

Author

Yang, Bin

Author_Institution

Dept. of Electr. Eng., Ruhr Univ., Bochum, Germany

fYear

1993

fDate

3-6 May 1993

Firstpage

2632

Abstract

An efficient rotation based adaptive multichannel least squares lattice algorithm for multichannel filtering with different filter orders for each input channel is presented. It is shown that this algorithm is suited for adaptive nonlinear filtering based on Volterra and recursive polynomial system models. The new algorithm requires only orthogonal transformations offering superior numerical behavior. Its highly modular and regular structure facilitates VLSI and parallel implementations

Keywords

VLSI; Volterra series; adaptive filters; least squares approximations; nonlinear filters; recursive filters; Volterra polynomials; adaptive nonlinear filters; filter orders; input channel; least squares lattice algorithm; orthogonal transformations; parallel implementations; recursive polynomial system models; rotation-based multichannel algorithm; Adaptive filters; Difference equations; Eigenvalues and eigenfunctions; Filtering; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Polynomials; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.394306

Filename

394306