A family of quantization based piecewise linear filter networks

John Aasted Sørensen

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    Abstract

    A family of quantization-based piecewise linear filter networks is proposed. For stationary signals, a filter network from this family is a generalization of the classical Wiener filter with an input signal and a desired response. The construction of the filter network is based on quantization of the input signal x(n) into quantization classes. With each quantization class is associated a linear filter. The filtering at time n is carried out by the filter belonging to the actual quantization class of x(n ) and the filters belonging to the neighbor quantization classes of x(n) (regularization). This construction leads to a three-layer filter network. The first layer consists of the quantization class filters for the input signal. The second layer carries out the regularization between neighbor quantization classes, and the third layer constitutes a decision of quantization class from where the resulting output is obtained
    Original languageEnglish
    JournalI E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
    Volume2
    Pages (from-to)329-332
    ISSN1520-6149
    DOIs
    Publication statusPublished - 1992
    Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing - San Francisco, United States
    Duration: 23 Mar 199226 Mar 1992
    Conference number: 17

    Conference

    Conference1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
    Number17
    Country/TerritoryUnited States
    CitySan Francisco
    Period23/03/199226/03/1992

    Bibliographical note

    Copyright 1992 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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