Design of FIR Filter Using GA and its Comparison with Hamming window and Parks McClellan Optimization Techniques

Digital filter are widely used in the world of communication and computation. On the other hand to design a digital finite impulse response (FIR) filter that satisfying all the required conditions is a challenge. In this paper, design techniques of low pass FIR filters using Hamming window method, Optimal Parks McClellan method and Genetic Algorithm method are presented. The magnitude response, phase response, stability, and filter coefficients are demonstrated for different design techniques. It has shown that filter design using GA is best because the transition bandwidth of GA is very less, possess very small amount of ripples in pass band and stop band and its phase response is better as compared with other techniques. Other advantages are discussed in paper. Design comparisons are presented to show the effectiveness of GA optimization method.

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