Comparative study on the generalized adaptive neural filter with other nonlinear filters

Document Type

Conference Proceeding

Publication Date

1-1-1993

Abstract

The Generalized Adaptive Neural Filter (GANF) is a new type of adaptable filter. The GANF relies upon neural functions to set up a filtering operation. This paper looks at a few of the possible neural operators which can be used in a GANF. The capabilities of the neural nets are examined and the filtering abilities of the GANF are obtained through simulation. While the GANF structure used here is somewhat simplified, the filter is also compared to other non-adaptive filters. These filters provide a reference so that relative performance can be more realistically judged.

Identifier

0027277396 (Scopus)

ISBN

[0780309464]

Publication Title

Proceedings ICASSP IEEE International Conference on Acoustics Speech and Signal Processing

ISSN

07367791

First Page

I

Last Page

649

Volume

1

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