Design of FIR Filter Using Novel Particle Swarm Optimization

Authors

  • Ela Mehra  Electrical Department, Madhav Institute of Technology and Science, Gwalior,Madhya Pradesh, India

Keywords:

Finite Impulse Response (FIR), Particle Swarm Optimization (PSO), Novel Particle Swarm Optimization (NPSO)

Abstract

This paper presents an optimal design of digital low pass finite impulse response (FIR) filter using Novel Particle Swarm Optimization (NPSO). The design target of FIR filter is to approximate the ideal filters on the request of a given designing specifications. The traditional based optimization techniques are not efficient for digital filter design. The filter specification to be realized NPSO algorithm generates the best coefficients and try to meet the ideal frequency response. Novel Particle swarm optimization (NPSO) proposes a new equation for the velocity vector and updating the particle vectors and hence the solution quality is improved. The NPSO technique enhances its search capability that leads to a higher probability of obtaining the optimal solution. In this paper for the given problem the realization of the FIR filter has been performed. The simulation results have been performed by using the novel particle swarm optimization (NPSO) method.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ela Mehra, " Design of FIR Filter Using Novel Particle Swarm Optimization, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.29-33, July-August-2017.