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Design of Digital Low Pass IIR Filter using Real Coded Genetic Algorithm

Bhagyashree K. Jagtap, Mahesh S. Chavan. Published in Algorithms.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Bhagyashree K. Jagtap, Mahesh S. Chavan
10.5120/cae2016652038

Bhagyashree K Jagtap and Mahesh S Chavan. Article: Design of Digital Low Pass IIR Filter using Real Coded Genetic Algorithm. Communications on Applied Electronics 4(8):1-4, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Bhagyashree K. Jagtap and Mahesh S. Chavan},
	title = {Article: Design of Digital Low Pass IIR Filter using Real Coded Genetic Algorithm},
	journal = {Communications on Applied Electronics},
	year = {2016},
	volume = {4},
	number = {8},
	pages = {1-4},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

This paper presents the design method for Infinite Impulse Response (IIR) digital filter with the use of Real Coded Genetic Algorithm (RGA/RCGA). Generally, nonlinear and multimodal error surface is observed in case of digital IIR filter. Hence, to avoid problems such as local minima, global optimization techniques are required. This paper gives effective method to design digital IIR filters. This paper finds the optimum coefficients of IIR digital filter by using RGA. RGA works on real numbers and is a powerful global optimization algorithm. To obtain minimum transition band, this designing of low pass IIR digital filter is proposed. It is observed that the calculated values are more optimal than those which are obtained by FDA tool available for design of filter in MATLAB. The improved mean-square-error (MSE) is observed in simulation results for example taken.

References

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Keywords

Infinite Impulse Response (IIR) filter, Real Coded Genetic Algorithm (RGA/RCGA), Stability