Adaptive Regularization Parameter for Pseudo Affine Projection Algorithm

Author

Ban, Sung Jun ; Lee, Chang Woo ; Kim, Sang Woo

Author_Institution

Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang

Volume

16

Issue

5

fYear

2009

fDate

5/1/2009 12:00:00 AM

Firstpage

382

Lastpage

385

Abstract

An adaptive regularized affine projection (AR-AP) algorithm has recently been proposed in order to achieve good misalignment performance. However, the algorithm requires high computational complexity. To overcome this problem, we propose an adaptive regularized pseudo affine projection (AR-PAP) algorithm. Additionally, we derive the lower bound of the regularization parameter in order to guarantee the stability of the AR-PAP algorithm. Simulation results show that the performance of the proposed algorithm is better than that of the AR-AP algorithm despite its significantly lower complexity.

Keywords

adaptive filters; affine transforms; adaptive regularization parameter; adaptive regularized affine projection algorithm; pseudo affine projection algorithm; Computational complexity; Computational modeling; Data preprocessing; Equations; Gaussian processes; Helium; Information technology; Noise measurement; Projection algorithms; Stability; Affine projection (AP) algorithm; computational complexity; misalignment; pseudo affine projection (PAP) algorithm;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2009.2016479

Filename

4803855