Shifted Independent Component Analysis

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    Abstract

    Delayed mixing is a problem of theoretical interest and practical importance, e.g., in speech processing, bio-medical signal analysis and financial data modelling. Most previous analyses have been based on models with integer shifts, i.e., shifts by a number of samples, and have often been carried out using time-domain representation. Here, we explore the fact that a shift t in the time domain corresponds to a multiplication of exp(-iwt) in the frequency domain. Using this property an algorithm in the case of sources
    Original languageEnglish
    Title of host publication7th International Conference on Independent Component Analysis and Signal Separation : ICA2007
    Publication date2007
    Pages89-96
    Publication statusPublished - 2007
    Event7th International Conference on Independent Component Analysis and Signal Separation : ICA2007 -
    Duration: 1 Jan 2007 → …

    Conference

    Conference7th International Conference on Independent Component Analysis and Signal Separation : ICA2007
    Period01/01/2007 → …

    Keywords

    • Shifted Independent Component Analysis (SICA)

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