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Research Article | Open Access |

A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform

Author 1: Ajoy Kumar Dey Author 2: Avijit Saha Author 3: Shibani Ghosh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 1, No. 6 · Published 2010 · Cited by 20

DOI: 10.14569/IJACSA.2010.010614

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Abstract

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

Keywords

Genetic Algorithm FIR: filter design optimization neural network.

How to Cite this Article

Dey, A. K., Saha, A., & Ghosh, S. (2010). A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform. International Journal of Advanced Computer Science and Applications, 1(6). https://doi.org/10.14569/IJACSA.2010.010614

Dey, Ajoy Kumar, et al.. "A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform." International Journal of Advanced Computer Science and Applications, vol. 1, no. 6, 2010, https://doi.org/10.14569/IJACSA.2010.010614.

@article{Dey2010,
  title     = {A Method of Genetic Algorithm (GA) for FIR Filter Construction: Design and Development with Newer Approaches in Neural Network Platform},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {1},
  number    = {6},
  year      = {2010},
  publisher = {The Science and Information Organization},
  author    = {Ajoy Kumar Dey and Avijit Saha and Shibani Ghosh},
  doi       = {10.14569/IJACSA.2010.010614},
  url       = {https://doi.org/10.14569/IJACSA.2010.010614}
}

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Volume 17 No. 11, November 2026
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