MAXIMUM ENTROPY AND THE METHOD OF MOMENTS IN EVALUATION OF PROBABILITY OF ERROR IN DIGITAL COMMUNICATIONS SYSTEMS.

Mohsen Kavehrad, Myrlene Joseph

    Research output: Contribution to conferencePaper

    2 Citations (Scopus)

    Abstract

    Maximum entropy criterion for estimating an unknown probability density function from its moments has been applied to evaluation of average error probability in digital communications. Accurate averages are obtained, even when a few moments are available. The method is stable and results compare well with those from powerful and widely used, Gauss-Quadrature-Rules (GQR) method. For test cases presented in this work, the maximum entropy method achieved results with typically 7 moments while GQR method required 31 moments to obtain the same, as accurately. This method is particularly suitable in applications where only a few moments of the unknown probability density are known.

    Original languageEnglish (US)
    Pages579-584
    Number of pages6
    StatePublished - Dec 1 1986

    Fingerprint

    Maximum entropy methods
    Digital communication systems
    Method of moments
    Probability density function
    Entropy
    Communication
    Error probability

    All Science Journal Classification (ASJC) codes

    • Engineering(all)

    Cite this

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    MAXIMUM ENTROPY AND THE METHOD OF MOMENTS IN EVALUATION OF PROBABILITY OF ERROR IN DIGITAL COMMUNICATIONS SYSTEMS. / Kavehrad, Mohsen; Joseph, Myrlene.

    1986. 579-584.

    Research output: Contribution to conferencePaper

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