Transform domain adaptive filtering with the chirp z transform

Andrew W. Hull, William Kenneth Jenkins

    Research output: Contribution to journalConference article

    Abstract

    The use of the chirp z transform (CZT) is proposed to improve the rate of convergence of transform domain adaptive output error algorithms. The use of the CZT is novel and is shown to possess advantages over the DFT. Other attempts at incorporating prior knowledge of input spectra use frequency sampling structures and their generalizations. Such structures require pole-zero cancellation, which is inexact with finite word length and may lead to instability if a zero occurs on the unit circle. Use of the CZT eliminates these difficulties and provides a stable, rapidly converging solution.

    Original languageEnglish (US)
    Pages (from-to)1437-1440
    Number of pages4
    JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Volume3
    StatePublished - Dec 1 1990
    Event1990 International Conference on Acoustics, Speech, and Signal Processing: Speech Processing 2, VLSI, Audio and Electroacoustics Part 2 (of 5) - Albuquerque, New Mexico, USA
    Duration: Apr 3 1990Apr 6 1990

    Fingerprint

    Adaptive filtering
    chirp
    Discrete Fourier transforms
    Poles
    Sampling
    cancellation
    poles
    sampling
    output

    All Science Journal Classification (ASJC) codes

    • Software
    • Signal Processing
    • Electrical and Electronic Engineering

    Cite this

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    Transform domain adaptive filtering with the chirp z transform. / Hull, Andrew W.; Jenkins, William Kenneth.

    In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 3, 01.12.1990, p. 1437-1440.

    Research output: Contribution to journalConference article

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