Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:F6
Session:
Number:F6-3
Partial-Update Linfinity-Norm Adaptive Filtering Algorithm with Sparse Updates
Seong-Eun Kim, Young-Seok Choi, Yun-Ki Han, Woo-Jin Song,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
This paper provides a partial-update normalized sign least-mean square (NSLMS) algorithm with sparse updates. The proposed algorithm reduces the computational complexity compared with the conventional L1-norm adaptive filtering algorithms by decreasing the frequency of updating the filter coefficients and updating only a part of the filter coefficients. And we develop a mean square analysis to present the convergence of the proposed algorithm. Experimental results show that the proposed algorithm has the good convergence performance with greatly reduced computational complexity.