An Efficient FIR Filter Design Using Enhanced Particle Swarm Optimization Technique

  • Unique Paper ID: 147269
  • Volume: 5
  • Issue: 6
  • PageNo: 284-288
  • Abstract:
  • In this paper the design of FIR filter is done through particle swarm optimization (PSO) technique in which we applied continuous iterations of sampling the desired frequency response and optimizes the impulse response in the specified frequency band. We have also calculated the minima, maxima and standard deviation with respect to the number of successive iterations and its fitness function.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{147269,
        author = {SUHITA SRIVASTAVA and deepak sharma },
        title = {An Efficient FIR Filter Design Using Enhanced Particle Swarm Optimization Technique},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {6},
        pages = {284-288},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147269},
        abstract = {In this paper the design of FIR filter is done through particle swarm optimization (PSO) technique in which we applied continuous iterations of sampling the desired frequency response and optimizes the impulse response in the specified frequency band. We have also calculated the minima, maxima and standard deviation with respect to the number of successive iterations and its fitness function.},
        keywords = {FIR filter, frequency sampling, particle swarm optimization, impulse response, low pass filter, maxima, minima.},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 5
  • Issue: 6
  • PageNo: 284-288

An Efficient FIR Filter Design Using Enhanced Particle Swarm Optimization Technique

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