Efficient order recursive algorithms for multichannel LS filtering

Author

Glentis, G.O. ; Kalouptsidis, N.

Author_Institution

Dept. of Phys., Athens Univ., Greece

fYear

1990

fDate

3-6 Apr 1990

Firstpage

1429

Abstract

Efficient algorithms for multivariable system identification and multichannel FIR (finite impulse response) filtering are developed under the assumption that the predictor depends linearly on the unknown parameter. The proposed methods have a block adaptive format because they derive from efficient linear system solvers

Keywords

adaptive filters; digital filters; filtering and prediction theory; identification; least squares approximations; multivariable systems; FIR filtering; block adaptive format; efficient order recursive algorithms; finite impulse response filtering; linear system solvers; multichannel LS filtering; multichannel least squares filtering; multivariable system identification; Cost function; Equations; Filtering algorithms; Finite impulse response filter; Linear systems; MIMO; Nonlinear filters; Physics; Taxonomy; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Conference_Location

Albuquerque, NM

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1990.115661

Filename

115661

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2878922