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

Author

Glentis, George-Othon ; Slump, Cornelis H.

Author_Institution

Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

1420

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

Keywords

FIR filters; adaptive filters; identification; lattice filters; least squares approximations; multivariable systems; pipeline processing; FIR filtering; delay elements; divisions; fully pipelinable architecture; highly modular normalized adaptive lattice algorithm; input channel; multichannel least squares filtering; multiplications; multivariable system identification; scalar only operations; square roots; Adaptive filters; Autocorrelation; Delay; Equations; Error correction; Filtering algorithms; Finite impulse response filter; Lattices; Least squares methods; Matrix decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480508

Filename

480508