Constrained adaptive multichannel L-filters

Author

Kotropouloz, C. ; Gabram, M. ; Pitas, Loannis

Author_Institution

Dept. of Inf., Aristotelian Univ. of Thessaloniki, Greece

Volume

1

fYear

1997

fDate

2-4 Jul 1997

Firstpage

279

Abstract

Adaptive multichannel L-filters based on marginal ordering when structural constraints such as location invariance or unbiasedness are imposed on the filter coefficients are proposed. Two novel adaptive algorithms are derived by using the Frost (1972) algorithm for minimizing the mean squared error subject to constraints in LMS and in LMS-Newton algorithms. It is demonstrated by experiments that the Frost-LMS algorithm has a faster convergence rate than the Frost LMS-Newton algorithm but it yields a higher steady-state MSE

Keywords

adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; least mean squares methods; Frost LMS-Newton algorithm; Frost algorithm; Frost-LMS algorithm; LMS-Newton algorithms; adaptive algorithms; adaptive signal processing; constrained adaptive multichannel L-filters; convergence rate; experiments; filter coefficients; location invariance; marginal ordering; mean squared error minimisation; steady-state MSE; structural constraints; Adaptive filters; Convergence; Digital signal processing; Informatics; Least squares approximation; Signal processing algorithms; Statistics; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628063

Filename

628063