DocumentCode
31534
Title
Fast stable normalised least-mean fourth algorithm
Author
Sheng Zhang ; Jiashu Zhang
Author_Institution
Sichuan Key Lab. of Signal & Inf. Process., Southwest Jiaotong Univ., Chengdu, China
Volume
51
Issue
16
fYear
2015
fDate
8 6 2015
Firstpage
1276
Lastpage
1277
Abstract
A fast stable normalised least-mean fourth (FSNLMF) algorithm is proposed. The major drawback of the stable normalised least-mean fourth (SNLMF) algorithm is its poor convergence rate, especially in the presence of high signal-to-noise ratios (SNRs). Considering the effect of high SNRs, a corresponding constant is introduced in SNLMF algorithm to offer a fast convergence. Simulations on system identifications demonstrate that the proposed FSNLMF algorithm achieves a faster convergence speed than the SNLMF algorithm.
Keywords
least mean squares methods; signal processing; FSNLMF algorithm; SNR; fast stable normalised least-mean fourth algorithm; signal-to-noise ratio;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el.2015.0421
Filename
7175210
Link To Document