Signal processing applications using adaptive simulated annealing

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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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

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