Laguerre-domain adaptive filters

Author

Den Brinker, Albertus C.

Author_Institution

Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands

Volume

42

Issue

4

fYear

1994

fDate

4/1/1994 12:00:00 AM

Firstpage

953

Lastpage

956

Abstract

Using a tapped-delay-line as an adaptive fitter, the complexity of the filter increases with increasing correlation length of input and reference signal. The author seeks simple adaptive filter structures such that for a long correlation length only a minor complexity of the filter is needed. He considers adaptive mechanisms governed by an exponentially weighted squared-error criterion. Laguerre-domain adaptive filters are introduced, which lead to a tapped IIR-filter line. These filters contain a discount factor as a free variable, which makes it possible to set the memory and the number of adaptive coefficients independently. Convergence properties of the proposed adaptive filters are discussed

Keywords

adaptive filters; computational complexity; convergence; delay lines; digital filters; filtering and prediction theory; stochastic processes; Laguerre-domain adaptive filters; complexity; convergence properties; correlation length; discount factor; exponentially weighted squared-error criterion; memory; tapped IIR-filter line; tapped-delay-line; Adaptive filters; Convergence; Error correction; Estimation error; Least squares approximation; Signal processing algorithms; Stability; Transfer functions; Transversal filters; Vibration control;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.285660

Filename

285660