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http://dx.doi.org/10.5916/jkosme.2007.31.7.863

Coefficient Estimation of IIR Digital Filters Using a Real-Coded Genetic Algorithm  

Lee, Yun-Hyung (Automatic Control Lab., Korea Maritime University)
So, Myung-Ok (Dept. of mechatronics engineering, Korea Maritime University)
Jin, Gang-Gyoo (Div. of Computer, Control and Electronic Communications engineering, Korea Maritime University)
Rhyu, Keel-Soo (Div. of Computer, Control and Electronic Communications engineering, Korea Maritime University)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.31, no.7, 2007 , pp. 863-871 More about this Journal
Abstract
This paper proposes a methodology to estimate the system coefficients for the infinite impulse response(IIR) digital filters using real code GA. In the traditional real coded GA, it adapts the general genetic operations, whereas in this paper the proposed real coded GA applies improved genetic operations in order to search the optimal solution in given problems. Each of unknown IIR digital coefficients collected as forms of a chromosome. Two illustrative examples including the band pass and band stop IIR digital filters are demonstrated to verify the proposed method.
Keywords
IIR digital filters; Real coded genetic algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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