FFT-based fault tolerant FIR adaptive filter

Bernard A. Schnaufer, William Kenneth Jenkins

    Research output: Contribution to journalConference articlepeer-review

    1 Scopus citations


    The FFT-based TDFTAF has been shown to have desirable structural and convergence properties when being trained with a white noise input signal. However, for colored noise training signals, which frequency arise in adaptive filtering scenarios, some of the good convergence properties do not hold. In this paper we demonstrate the convergence behavior of the FFT-based TDFTAF with colored noise input signals and provide a computationally efficient method to address the poor convergence rate problem.

    Original languageEnglish (US)
    Pages (from-to)261-264
    Number of pages4
    JournalProceedings - IEEE International Symposium on Circuits and Systems
    StatePublished - Dec 1 1994
    EventProceedings of the 1994 IEEE International Symposium on Circuits and Systems. Part 3 (of 6) - London, England
    Duration: May 30 1994Jun 2 1994

    All Science Journal Classification (ASJC) codes

    • Electrical and Electronic Engineering


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