Adaptive simulated annealing for optimization in signal processing applications
نویسندگان
چکیده
Many signal processing applications pose optimization problems with multimodal and nonsmooth cost functions. Gradient methods are ine!ective in these situations. The adaptive simulated annealing (ASA) o!ers a viable optimization tool for tackling these di$cult nonlinear optimization problems. Three applications, maximum likelihood (ML) joint channel and data estimation, in"nite-impulse-response (IIR) "lter design and evaluation of minimum symbol-error-rate (MSER) decision feedback equalizer (DFE), are used to demonstrate the e!ectiveness of the ASA. ( 1999 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Signal Processing
دوره 79 شماره
صفحات -
تاریخ انتشار 1999