A sparse block exact affine projection algorithm

Author

Rombouts, Geert ; Moonen, Marc

Author_Institution

ESAT, Katholieke Univ., Leuven, Heverlee, Belgium

Volume

10

Issue

2

fYear

2002

fDate

2/1/2002 12:00:00 AM

Firstpage

100

Lastpage

108

Abstract

The so-called affine projection algorithm (APA) has become a popular method in adaptive filtering applications and fast versions of it have been developed previously, such as fast affine projection (FAP) and the frequency domain block exact fast affine projection (BEFAP). While it is known that regularization is an absolute necessity in affine projection based adaptive filtering algorithms, FAP and BEFAP rely on an implicit "small regularization parameter" assumption. In this paper, a block exact affine projection algorithm (BE-APA) is derived that does not rely on the assumption of a small regularization parameter. It is an exact frequency domain translation of the original AP algorithm, and still has about the same complexity as, block exact FAR Unlike BEFAP, it can be used with strong regularization. It is then extended to incorporate an alternative to explicit regularization that is based on so-called "sparse" equations

Keywords

adaptive filters; audio signal processing; echo suppression; frequency-domain analysis; APA; BE-APA; acoustic echo canceling; adaptive filtering applications; complexity; frequency domain translation; regularization; regularization parameter; sparse block exact affine projection algorithm; Adaptive filters; Communication system control; Echo cancellers; Equations; Filtering algorithms; Financial advantage program; Frequency domain analysis; Projection algorithms; Resonance light scattering; Signal processing algorithms;

fLanguage

English

Journal_Title

Speech and Audio Processing, IEEE Transactions on

Publisher

ieee

ISSN

1063-6676

Type

jour

DOI

10.1109/89.985547

Filename

985547