Adaptive Filtering for Non-Gaussian Processes

Preben Kidmose

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    Abstract

    A new stochastic gradient robust filtering method, based on a non-linear amplitude transformation, is proposed. The method requires no a priori knowledge of the characteristics of the input signals and it is insensitive to the signals distribution and to the stationarity of the signals. A simulation study, applying both synthetic and real-world signals, shows that the proposed method has overall better robustness performance, in terms of modeling error, compared with state-of-the-art robust filtering methods. A remarkable property of the proposed method is that it can handle double-talk in the acoustical echo-cancellation problem.
    Original languageEnglish
    Title of host publicationProceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP2000
    PublisherIEEE
    Publication date2000
    Pages424-427
    ISBN (Print)0-7803-6293-4
    DOIs
    Publication statusPublished - 2000
    EventProceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP2000 -
    Duration: 1 Jan 2000 → …

    Conference

    ConferenceProceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP2000
    Period01/01/2000 → …

    Bibliographical note

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