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Higher Order Low Pass FIR Filter Design using IPSO Algorithm

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Higher Order Low Pass FIR Filter Design using IPSO Algorithm


M. Santhanaraj | Rishikesh. S. S | Subramanian. A. N | Vijai Sooriya. Su

https://doi.org/10.31142/ijtsrd22899



M. Santhanaraj | Rishikesh. S. S | Subramanian. A. N | Vijai Sooriya. Su "Higher Order Low Pass FIR Filter Design using IPSO Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3, April 2019, pp.518-520, URL: https://www.ijtsrd.com/papers/ijtsrd22899.pdf

This paper presents an optimal design of digital low pass finite impulse response (FIR) filter using Improved Particle Swarm Optimization (IPSO). 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 IPSO algorithm generates the best coefficients and try to meet the ideal frequency response. Improved Particle swarm optimization (PSO) proposes a new equation for the velocity vector and updating the particle vectors and hence the solution quality is improved. The IPSO 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 improved particle swarm optimization (IPSO) method.

FIR Filter, PSO,IPSO, GA, Parks and McClellan (PM) Algorithm


IJTSRD22899
Volume-3 | Issue-3, April 2019
518-520
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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