Independent Component Analysis Using the Spectral Measure for Alpha-Stable Distributions

Preben Kidmose

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    A method for identifying the independent components of an alpha-stable random vector is proposed. The method is based on an estimate of the spectral measure for the charac- teristic function. Simulations with both synthetic and speech signals demonstrate that the proposed method can identi- fy independent components in the so-called over-complete case of more sources than mixtures.
    Original languageEnglish
    Title of host publicationProceedings of IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP2001.
    Publication date2001
    Pages1-5
    Publication statusPublished - 2001

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