Data selective partial-update affine projection algorithm

Author

Diniz, Paulo S R ; Pinto, Guilherme O. ; Hjørungnes, Are

Author_Institution

COPPE/Poli/UFRJ, Rio de Janeiro

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

3833

Lastpage

3836

Abstract

This paper proposes an affine projection adaptive filtering algorithm incorporating a data selection strategy based on the set-membership concept along with a partial update technique. The resulting algorithm is flexible in the sense that it allows more general tradeoff between speed of convergence and misadjustment while constraining the overall computational complexity. Simulation experiments in a typical echo cancellation environment confirm the effectiveness of the proposed algorithm.

Keywords

adaptive filters; computational complexity; echo suppression; filtering theory; adaptive filtering algorithm; affine projection algorithm; computational complexity; data selective partial-update algorithm; echo cancellation environment; partial update technique; Adaptive filters; Computational complexity; Computational modeling; Convergence; Echo cancellers; Estimation error; Filtering algorithms; Least squares approximation; Nonlinear filters; Projection algorithms; Adaptive filters; echo cancellation; set-membership filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4518489

Filename

4518489