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Signal processing applications using adaptive simulated annealing

Signal processing applications using adaptive simulated annealing
Signal processing applications using adaptive simulated annealing
Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimization tool for tackling these difficult nonlinear problems. We demonstrate the effectiveness of the ASA using three applications, infinite-impulse-response (IIR) filter design, maximum likelihood (ML) joint channel and data estimation and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE).
0-7803-5536-9
842-849
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594

Chen, S., Istepanian, R. H. and Luk, B. L. (1999) Signal processing applications using adaptive simulated annealing. Proceedings of the 1999 Congress on Evolutionary Computation. pp. 842-849 .

Record type: Conference or Workshop Item (Other)

Abstract

Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ineffective in these situations. The adaptive simulated annealing (ASA) offers a viable optimization tool for tackling these difficult nonlinear problems. We demonstrate the effectiveness of the ASA using three applications, infinite-impulse-response (IIR) filter design, maximum likelihood (ML) joint channel and data estimation and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE).

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More information

Published date: 1999
Additional Information: 1999 Congress on Evolutionary Computation (Washington DC, USA), July 6-9, 1999. Organisation: IEEE Neural Network Council, Evolutionary Programming Society, IEE
Venue - Dates: Proceedings of the 1999 Congress on Evolutionary Computation, 1999-01-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251065
URI: http://eprints.soton.ac.uk/id/eprint/251065
ISBN: 0-7803-5536-9
PURE UUID: fdd85373-62d8-4647-a47f-9ab268ee40ea

Catalogue record

Date deposited: 31 Mar 2000
Last modified: 16 Jul 2019 23:09

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