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  • 标题:Design of FIR Filter Using GA and its Comparison with Hamming window and Parks McClellan Optimization Techniques
  • 本地全文:下载
  • 作者:Sonika Aggarwal ; Aashish Gagneja ; Aman Panghal
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:7
  • 出版社:S.S. Mishra
  • 摘要:Digital filter are widely used in the wo rld of communication and computation. On the other hand to design a digital finite impulse response (FIR) filter that satisfying all the requ ired 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 sho wn 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.
  • 关键词:Filter Design; FIR Filter; Genetic Algorithm; Optimal Parks McClellan; Hamming Window Method
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