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Nonlinear classification and adaptive structures

Nonlinear classification and adaptive structures
Nonlinear classification and adaptive structures
The main purpose of this paper is to examine a number of possible architectures for nonlinear
adaptive filtering, specifically related to adaptive equalisation. The approach taken proceeds by first reformulating the filtering process as a form of classification task in N dimensions. In the case of filtering the dimensionality is determined by the number of data samples in the filter data input vector. The task of classification then proceeds using a number of possible strategies, i.e. the multilayer perceptron, Volterra series modelling and cluster analysis. The techniques are evaluated in comparison with normal linear equalisation procedures.
62-68
Cowan, C. F. N.
383ecc7c-1e78-4861-95d7-cbfeb02745a1
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gibson, G. J.
f6598836-ae2a-4707-9956-3600c35d5ee6
Cowan, C. F. N.
383ecc7c-1e78-4861-95d7-cbfeb02745a1
Grant, P. M.
e527fff4-da0f-4bc4-91cf-eed522070300
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Gibson, G. J.
f6598836-ae2a-4707-9956-3600c35d5ee6

Cowan, C. F. N., Grant, P. M., Chen, S. and Gibson, G. J. (1990) Nonlinear classification and adaptive structures. SPIE Advanced Signal Processing Algorithms, Architectures, and Implementations, San Diego, United States. pp. 62-68 .

Record type: Conference or Workshop Item (Paper)

Abstract

The main purpose of this paper is to examine a number of possible architectures for nonlinear
adaptive filtering, specifically related to adaptive equalisation. The approach taken proceeds by first reformulating the filtering process as a form of classification task in N dimensions. In the case of filtering the dimensionality is determined by the number of data samples in the filter data input vector. The task of classification then proceeds using a number of possible strategies, i.e. the multilayer perceptron, Volterra series modelling and cluster analysis. The techniques are evaluated in comparison with normal linear equalisation procedures.

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More information

Published date: 1990
Additional Information: SPIE Advanced Signal Processing: Algorithms, Architectures, and Implementations (San Diego, USA), 1990. Event Dates: 1990
Venue - Dates: SPIE Advanced Signal Processing Algorithms, Architectures, and Implementations, San Diego, United States, 1990-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251112
URI: http://eprints.soton.ac.uk/id/eprint/251112
PURE UUID: 38b20eed-75df-43b7-81c6-c612673976e6

Catalogue record

Date deposited: 12 Oct 1999
Last modified: 03 Feb 2022 17:48

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Contributors

Author: C. F. N. Cowan
Author: P. M. Grant
Author: S. Chen
Author: G. J. Gibson

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