Novel design method of digital IIR filters

Authors:
Přemysl Žiška;Miloš Laipert
Affiliations:
Department of Circuit Theory, Czech Technical University in Prague, Prague Czech Republic;Department of Circuit Theory, Czech Technical University in Prague, Prague Czech Republic
Venue:
AEE'05 Proceedings of the 4th WSEAS international conference on Applications of electrical engineering
Year:
2005

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Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions

SIAM Journal on Optimization

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Abstract

A novel method of the IIR filter design using the genetic algorithm is described in the paper. Newly, a simplex direct search method is included to the algorithm to enable its faster convergence. The design procedure is implemented in the MATLAB program environment. The genetic algorithm applied is able to find a solution of the task successfully. Filter coefficients quantization process is included to the design procedure for realization in a digital signal processor with fixed point number presentation. This technique is illustrated on an example of a digital IIR pass-band filter design, which was simulated in the DSP TMS320C54x software simulator.