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  • 标题:A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform
  • 本地全文:下载
  • 作者:Ajoy Kumar Dey ; Avijit Saha ; Shibani Ghosh
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2010
  • 卷号:1
  • 期号:6
  • DOI:10.14569/IJACSA.2010.010614
  • 出版社:Science and Information Society (SAI)
  • 摘要:The main focus of this paper is to describe a developed and dynamic method of designing finite impulse response filters with automatic, rapid and less computational complexity by an efficient Genetic approach. To obtain such efficiency, specific filter coefficient coding scheme has been studied and implemented. The algorithm generates a population of genomes that represents the filter coefficient where new genomes are generated by crossover, mutation operations methods. Our proposed genetic technique has able to give better result compare to other method
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Genetic Algorithm; FIR: filter design; optimization; neural network.
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