Adaptive simulated annealing for optimization in signal processing applications

被引：95

作者：

Chen, S ^{[1
]}

Luk, BL ^{[1
]}

机构：

[1] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

SIGNAL PROCESSING | 1999年 / 79卷 / 01期

关键词：

simulated annealing; global optimization; blind equalization; IIR filter; decision feedback equalizer;

D O I：

10.1016/S0165-1684(99)00084-5

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：117 / 128

页数：12

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