Variable Step-Size Affine Projection Algorithm with a Weighted and Regularized Projection Matrix

Author

Dai, Tao ; Adler, Andy ; Shahrrava, Behnam

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont.

fYear

2006

fDate

38838

Firstpage

1201

Lastpage

1204

Abstract

This paper presents a regularized modification to the weighted variable step-size affine projection algorithm (APA). The regularization overcomes the ill-conditioning introduced by both the forgetting process and the increasing size of the input matrix. The algorithm was tested by trials with colorized input signals and different parameter combinations. Simulations illustrate that the proposed algorithm is superior in terms of convergence speed and misadjustment compared with existing algorithms

Keywords

adaptive filters; adaptive signal processing; matrix algebra; affine projection algorithm; regularized projection matrix; Adaptive signal processing; Convergence; Information technology; Least squares approximation; Noise cancellation; Projection algorithms; Robustness; Sampling methods; Signal processing algorithms; Testing; Adaptive Signal Processing; Affine Projection Algorithms; Matrix Singularity; Regularization; Variable Step-size Adaptive Algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

1-4244-0038-4

Electronic_ISBN

1-4244-0038-4

Type

conf

DOI

10.1109/CCECE.2006.277527

Filename

4054900

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3141076