Steady-state performance analysis for adaptive filters with error nonlinearities

Author

Lin, Bin ; He, Rongxi ; Song, Liming ; Wang, Baisuo

Author_Institution

Coll. of Inf. Eng., Dalian Maritime Univ., Dalian

fYear

2009

fDate

19-24 April 2009

Firstpage

3093

Lastpage

3096

Abstract

A unified approach to the steady-state mean square error (MSE) and tracking performance analyses for real and complex adaptive filtes with error nonlinearities is developed. Some general clofied-form analytical expressions for the steady-state performances are given. Our analyses are based on Taylor series expansion and and so-called complex Brandwood-form series expansion (BSE). Under these general explicit expressions, some well-known adaptive filters can be viewed as special cases. In addition, the closed-form analytical expressions for the steady-state performance for real and complex least-mean p-power (LMP) algorithm with different choices of parameter p are also given. A mass of simulations show the accuration of our analyses.

Keywords

adaptive filters; mean square error methods; Brandwood-form series expansion; Taylor series expression; adaptive filters; error nonlinearities; least-mean p-power algorithm; mean square error; steady-state performance analysis; Adaptive filters; Algorithm design and analysis; Energy conservation; Helium; Least squares approximation; Noise measurement; Performance analysis; Steady-state; Taylor series; Transient analysis; Taylor series expression; adaptive filters; mean-square error; steady-state analysis; tracking performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4960278

Filename

4960278