Adaptive simulated annealing for optimization in signal processing applications

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

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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: 14 Mar 2024 05:07

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Contributors

Author: S. Chen

Author: B. L. Luk

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