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Design of FIR Filter Using Novel Particle Swarm Optimization

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  • Ela Mehra

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.

Suggested Citation

  • Ela Mehra, 2017. "Design of FIR Filter Using Novel Particle Swarm Optimization," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(4), pages 29-33, August.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit17247
    Note: Article URL: https://ijsrcseit.com/CSEIT17247
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