A hybrid LMS-LMF scheme for echo cancellation

Author

Zerguine, Azzedine ; Bettayeb, Maamar ; Cowan, Colin F N

Author_Institution

Dept. of Phys., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2313

Abstract

The coefficients of an echo canceller with a near-end section and a far-end section are usually updated with the same updating scheme, such as the LMS algorithm. In this paper we propose a novel scheme for echo cancellation that is based on the minimization of two different cost functions, i.e., one for the near-end section and a different one for the far-end section. Two approaches are addressed and only one of them leads to a substantial improvement in performance over the LMS algorithm when it is applied to both sections of the echo canceller. The proposed scheme is also shown to be robust to noise variations, which is not the case for the LMS algorithm

Keywords

acoustic filters; adaptive filters; echo suppression; least mean squares methods; minimisation; adaptive filters; cost functions; echo cancellation; far-end section; hybrid LMS-LMF scheme; least mean fourth algorithm; minimization; near-end section; noise variations; performance; updating scheme; Adaptive systems; Convergence; Cost function; Decision feedback equalizers; Echo cancellers; Iron; Least squares approximation; Noise cancellation; Noise robustness; Physics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599515

Filename

599515