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
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;
Journal_Title :
Signal Processing Letters, IEEE
