A family of quantization based piecewise linear filter networks

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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
EventIEEE International Conference on Acoustics, Speech, and Signal Processing - San Francisco, CA
Duration: 1 Jan 1992 → …

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
CitySan Francisco, CA
Period01/01/1992 → …

Bibliographical note

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