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Digital IIR filter design using adaptive simulated annealing

Digital IIR filter design using adaptive simulated annealing
Digital IIR filter design using adaptive simulated annealing
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 multi-modal, global optimisation techniques are required in order to avoid local minima. We apply a global optimisation 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.
241-251
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Istepanian, R. H.
b71b8b46-cb69-4fcd-8253-d2e7a93079ea
Luk, B. L.
93cd9097-1776-4671-b6bb-71febac67594

Chen, S., Istepanian, R. H. and Luk, B. L. (2001) Digital IIR filter design using adaptive simulated annealing. Digital Signal Processing, 11 (3), 241-251.

Record type: Article

Abstract

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 multi-modal, global optimisation techniques are required in order to avoid local minima. We apply a global optimisation 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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Published date: July 2001
Organisations: Southampton Wireless Group

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Local EPrints ID: 251173
URI: https://eprints.soton.ac.uk/id/eprint/251173
PURE UUID: e7f3467c-6fee-4b12-ae3b-6a1bfc69bc3a

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Date deposited: 16 Jul 2001
Last modified: 19 Jul 2019 22:49

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