Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390097
