Quasi-equiripple approximation of minimum phase FIR filters by updating desired response

M. Okuda, I. R. Khan, M. Ikehara, S. Takahashi

    Research output: Contribution to journalArticle

    3 Citations (Scopus)

    Abstract

    The authors present a new numerical method for the Chebyshev approximation of minimum phase FIR digital filters. This method is based on solving a least squares (LS) problem iteratively. At each iteration, the desired response is transformed so as to have an equiripple magnitude error. This method makes it possible to design minimum phase FIR filters whose magnitude error is quasi-equiripple. Using this method, a quasi-equiripple solution is obtained very quickly. Since the proposed methods do not require any time-consuming optimisation procedure, they require less computational complexity than conventional methods. Finally, some examples to illustrate the advantage of the proposed methods are shown.

    Original languageEnglish
    Pages (from-to)164-169
    Number of pages6
    JournalIEE Proceedings: Vision, Image and Signal Processing
    Volume151
    Issue number3
    DOIs
    Publication statusPublished - 2004 Jun 1

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

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