Title :
Efficient order recursive algorithms for multichannel LS filtering
Author :
Glentis, G.O. ; Kalouptsidis, N.
Author_Institution :
Dept. of Phys., Athens Univ., Greece
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115661
