Improving the Stability of the LMF Adaptive Algorithm Using the Median Filteer

Tommy Kristensen Bysted, Corneliu Rusu

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    Abstract

    The stability of the LMF (Least Mean Fourth) adaptive algorithm is improved by using the median of the gradient instead of the raw gradient for updating the coefficients of the adaptive filter. This operation has two advantages: first it improves the performance of the LMF in impulse noise environments and secondly it enables the use of larger step-size of the adaptive algorithm especially when the signals are corrupted by noise. The disadvantages are a small raise in the computational complexity and slower convergence than the LMF. Two examples are given which illustrates the behavior of the Median LMF compared to the LMF algorithm.
    Original languageEnglish
    Title of host publicationNORSIG'98
    Place of PublicationVigsø
    PublisherAalborg University
    Publication date1998
    Pages157-160
    Publication statusPublished - 1998
    Event3rd IEEE Nordic Signal Processing Symposium - Vigsø, Denmark
    Duration: 8 Jun 199811 Jun 1998

    Conference

    Conference3rd IEEE Nordic Signal Processing Symposium
    CountryDenmark
    CityVigsø
    Period08/06/199811/06/1998

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