On the optimality of convergence behaviour for transform-domain split-path adaptive filter

Author

Wan, K.F. ; Ching, P.C.

Author_Institution

Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

iii

fYear

1994

fDate

19-22 Apr 1994

Abstract

A fast LMS adaptive filtering algorithm in transform-domain is developed. The algorithm is applied to a structure which decomposed an adaptive FIR filter into a parallel connection of two subfilters, one with a symmetric property and the other with an antisymmetric property. A detail analysis on the optimality of the convergence behaviour for this transform-domain split-path adaptive filter is presented. Simulation results show that the proposed algorithm has superior convergence performance while the increase in computation is only modest

Keywords

FIR filters; adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; least mean squares methods; transforms; LMS adaptive filtering algorithm; adaptive FIR filter; antisymmetric property; convergence optimality; convergence performance; simulation results; subfilters; symmetric property; transform-domain split-path adaptive filter; Adaptive control; Adaptive filters; Computational modeling; Convergence; Eigenvalues and eigenfunctions; Equations; Filtering algorithms; Finite impulse response filter; Least squares approximation; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.390000

Filename

390000