Adaptive filtering using constrained subband updates

Kong A. Lee, Woon S. Gan

    Research output: Journal article publicationConference articleAcademic researchpeer-review

    3 Citations (Scopus)


    This paper describes and analyzes a class of subband adaptive filters (SAFs) that stems from various approaches of applying subband and multirate techniques in adaptive filtering. This class of SAFs has a unique structure of weight-control mechanism where subband error signals are used to actuate the adaptation of a fullband weight vector. In this paper, we show that the recursive weight adaptation can be expressed as an underdetermined least-squares solution. Within this deterministic framework, we show its underlying affinity with the normalized least-mean-square (NLMS) and affine projection (AP) algorithms. We then compare the efficacy of these algorithms in terms of convergence rate and computational complexity.

    Original languageEnglish
    Article number1465077
    Pages (from-to)2275-2278
    Number of pages4
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    Publication statusPublished - May 2005
    EventIEEE International Symposium on Circuits and Systems 2005, ISCAS 2005 - Kobe, Japan
    Duration: 23 May 200526 May 2005

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering


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