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Digital IIR Filter Design Using Adaptive Simulated Annealing

โœ Scribed by S. Chen; R. Istepanian; B.L. Luk


Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
146 KB
Volume
11
Category
Article
ISSN
1051-2004

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โœฆ Synopsis


Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical problems. Because the error surface of IIR filters is generally multimodal, global optimization techniques are required in order to avoid local minima. We apply a global optimization method, called the adaptive simulated annealing (ASA), to digital IIR filter design. An important advantage of the ASA is the simplicity in software programming. Simulation study involving system identification application shows that the proposed approach is accurate and has a fast convergence rate, and the results obtained demonstrate that the ASA offers a viable tool to digital IIR filter design.


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