The data-selective constrained affine-projection algorithm

Author

Werner, Stefan ; Apolinário, José A. ; De Campos, Marcello L R

Author_Institution

Lab. of Signal Process., Helsinki Univ. of Technol., Espoo, Finland

Volume

6

fYear

2001

fDate

2001

Firstpage

3745

Abstract

This paper introduces a constrained version of the recently proposed set-membership affine projection algorithm based on the set-membership criteria for coefficient update. The algorithm is suitable for linearly constrained minimum-variance filtering applications. The data-selective property of the proposed algorithm greatly reduces the computational burden as compared with a nonselective approach. Simulation results show the good performance in terms of convergence, final misadjustment, and reduced computational complexity

Keywords

adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; filtering theory; minimisation; set theory; coefficient update; constrained affine-projection; convergence; data-selective algorithm; final misadjustment; linearly constrained filtering; minimum-variance filtering; performance; reduced computational complexity; set-membership criteria; Adaptive filters; Computational complexity; Computational modeling; Convergence; Counting circuits; Estimation error; Filtering algorithms; Laboratories; Projection algorithms; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940657

Filename

940657