Performance analysis of the dual sign algorithm with contaminated-Gaussian noise

Author

Bang, Seung Chan ; Choi, Hong Sub ; Ann, Souguil

Author_Institution

Dept. of Electron. Eng., Seoul Nat. Univ., South Korea

Volume

iii

fYear

1994

fDate

19-22 Apr 1994

Abstract

In previous analysis of the dual sign algorithm (DSA), Gaussian signals were assumed. Thus it is inadequate when the desired response is corrupted additively by impulsive interference. The contaminated-Gaussian (CG) density is usually used to express the impulsive interference. A performance analysis of the DSA is presented when the input signal is a zero-mean stationary Gaussian process and the additive noise of the desired response is a zero-mean stationary CG process. Computer simulations validate our analysis and furthermore show that the DSA is less vulnerable to impulsive interference than the least mean square (LMS) algorithm

Keywords

Gaussian noise; adaptive filters; adaptive signal processing; filtering theory; interference (signal); Gaussian signals; LMS algorithm; additive noise; computer simulations; contaminated Gaussian noise; contaminated-Gaussian density; dual sign algorithm; impulsive interference; input signal; nonlinear correlation multipliers; performance analysis; stochastic gradient adaptive filters; zero-mean stationary contaminated Gaussian process; Additive noise; Algorithm design and analysis; Character generation; Computer simulation; Gaussian processes; Interference; Least squares approximation; Performance analysis; Signal analysis; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on

Conference_Location

Adelaide, SA

ISSN

1520-6149

Print_ISBN

0-7803-1775-0

Type

conf

DOI

10.1109/ICASSP.1994.390097

Filename

390097