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FIR Filter Design Using Genetic Algorithm

Publication Date : 30/06/2015

Author(s) :


Volume/Issue :
Volume 2
Issue 6
(06 - 2015)

Abstract :

For the design of Low pass FIR filters complex calculations are required to calculate the filter coefficients. Mathematically, by substituting the values of pass band, transition width, pass band ripple, stop band attenuation and sampling frequency in any of the methods like window method, frequency sampling method or optimal method we can get the values of filter coefficients h(n).In this paper a low pass FIR filter has been designed using artificial neural network. The optimization of the network has been done using genetic algorithms. The proposed approach has been compared with Kaiser window method. The result shows that the filter designed using ANN optimized with GA requires lesser iterations for the performance goal meeting

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FIR Filter Design Using Genetic Algorithm

June 30, 2015