New efficient 2-D LMS adaptive filtering algorithm

Sau-Gee Chen*, Yung An Kao

*Corresponding author for this work

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

A new efficient 2-D LMS adaptive filtering algorithm is proposed in this work. The new algorithm costs N2/2-1 less multiplications, at the expense of N2/2 more additions than the existing 2-D direct-form LMS algorithms per adaptive iteration. Performance of the new algorithm is shown to be comparable to that of the known algorithms by theoretical analysis and simulation results, in the aspects of SNR and convergence rate. The new algorithm has N2+1 coefficients, in contrast to N2 coefficients of the conventional algorithms.

Original languageEnglish
Pages (from-to)233-236
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
DOIs
StatePublished - 1 Dec 1994
EventProceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6) - London, England
Duration: 30 May 19942 Jun 1994

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