We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Fast stable normalised least‐mean fourth algorithm.
- Authors
Zhang, Sheng; Zhang, Jiashu
- 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.
- Publication
Electronics Letters (Wiley-Blackwell), 2015, Vol 51, Issue 16, p1276
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2015.0421