Variable step-size LMS algorithm using regulated least square error criterion

Sin Chun Ng, Chi Chung Cheung, Chi Yin Chung, Shu Hung Leung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.

Original languageEnglish
Pages (from-to)160-162
Number of pages3
JournalElectronics Letters
Issue number1
Publication statusPublished - 9 Jan 2003

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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