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Adaptive simulated annealing for optimization in signal processing applications

Adaptive simulated annealing for optimization in signal processing applications
Adaptive simulated annealing for optimization in signal processing applications
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 optimization problems. Three applications, maximum likelihood (ML) joint channel and data estimation, infinite-impulse-response (IIR) filter design and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE), are used to demonstrate the effectiveness of the ASA.
0165-1684
117-128
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594

Chen, S. and Luk, B. L. (1999) Adaptive simulated annealing for optimization in signal processing applications. Signal Processing, 79 (1), 117-128.

Record type: Article

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 optimization problems. Three applications, maximum likelihood (ML) joint channel and data estimation, infinite-impulse-response (IIR) filter design and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE), are used to demonstrate the effectiveness of the ASA.

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Published date: October 1999
Organisations: Southampton Wireless Group

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Local EPrints ID: 251049
URI: http://eprints.soton.ac.uk/id/eprint/251049
ISSN: 0165-1684
PURE UUID: 64da46d0-0475-4d0c-ac62-35d921108d67

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Date deposited: 11 Oct 1999
Last modified: 09 Dec 2019 20:20

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Contributors

Author: S. Chen
Author: B. L. Luk

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