DocumentCode
1211701
Title
Performance analysis of the dual sign algorithm for additive contaminated-Gaussian noise
Author
Bang, Seung Chan ; Ann, Souguil ; Song, Iickho
Author_Institution
Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
Volume
1
Issue
12
fYear
1994
Firstpage
196
Lastpage
198
Abstract
In the previous analysis of the dual sign algorithm (DSA), Gaussian signals were assumed. When the desired response contains additive impulsive interference, however, the analysis seems to be inadequate. In this article, a performance analysis of the DSA is considered when the signals are zero-mean stationary Gaussian, and the additive noise of the desired response is zero-mean stationary contaminated-Gaussian (CG). Through computer simulations, our analysis is validated. It is also shown that the DSA is less vulnerable to impulsive interference than the least-mean square (LMS) algorithm.<>
Keywords
Gaussian noise; adaptive signal processing; interference (signal); Gaussian signals; LMS algorithm; additive contaminated-Gaussian noise; additive impulsive interference; computer simulations; dual sign algorithm; least-mean square algorithm; performance analysis; stochastic gradient adaptive algorithm; zero-mean stationary Gaussian signals; zero-mean stationary contaminated-Gaussian noise; Additive noise; Character generation; Computer simulation; Convergence; Estimation error; Gaussian noise; Interference; Performance analysis; Signal analysis; Signal processing algorithms;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.338751
Filename
338751
Link To Document