Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation

Author

Yukawa, Masahiro ; Yamada, Isao

Author_Institution

Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan

Volume

3

fYear

2007

fDate

15-20 April 2007

Abstract

In this paper, we propose a novel adaptive filtering algorithm named adaptive parallel variable-metric projection (APVP) algorithm, which includes the proportionate normalized least mean square (PNLMS) algorithm as its special example. The proposed algorithm is based on parallel projection (onto multiple closed convex sets) with time-varying metrics. A convergence analysis of the proposed algorithm is presented with the aid of the adaptive projected subgradient method. Numerical examples demonstrate that the proposed algorithm realizes echo cancellation superior to the conventional algorithms.

Keywords

acoustic signal processing; adaptive filters; echo suppression; filtering theory; gradient methods; least mean squares methods; acoustic echo cancellation; adaptive filtering algorithm; adaptive parallel variable-metric projection algorithm; adaptive projected subgradient method; proportionate normalized least mean square; Acoustic applications; Adaptive filters; Algorithm design and analysis; Convergence; Echo cancellers; Electronic mail; Filtering algorithms; Hilbert space; Multiple access interference; Projection algorithms; Adaptive Projected Subgradient Method; adaptive filtering algorithm; proportionate NLMS; variable metric;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.367096

Filename

4217969