Digital IIR filter design using adaptive simulated annealing
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.
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.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||16 Jul 2001|
|Last Modified:||02 Mar 2012 11:37|
|Contributors:||Chen, S. (Author)
Istepanian, R. H. (Author)
Luk, B. L. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||19|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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