%0 Journal Article %1 noauthororeditor %A Su, M. Santhanaraj | Rishikesh. S. S | Subramanian. A. N | Vijai Sooriya. %D 2019 %J International Journal of Trend in Scientific Research and Development %K & (PM) Algorithm Communication Electronics Engineering FIR Filter GA McClellan PSOIPSO Parks and %N 3 %P 518-520 %R https://doi.org/10.31142/ijtsrd22899 %T Higher Order Low Pass FIR Filter Design using IPSO Algorithm %U https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/22899/higher-order-low-pass-fir-filter-design-using-ipso-algorithm/m-santhanaraj %V 3 %X 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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd22899.pdf

@article{noauthororeditor, abstract = {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. 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, URL: https://www.ijtsrd.com/papers/ijtsrd22899.pdf }, added-at = {2019-06-06T08:06:56.000+0200}, author = {Su, M. Santhanaraj | Rishikesh. S. S | Subramanian. A. N | Vijai Sooriya.}, biburl = {https://www.bibsonomy.org/bibtex/2fcdfd71c38bcee0e61b8fcd014c0c357/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd22899}, interhash = {d143d4ab9dcd846a52bd0c1486c5aace}, intrahash = {fcdfd71c38bcee0e61b8fcd014c0c357}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {& (PM) Algorithm Communication Electronics Engineering FIR Filter GA McClellan PSOIPSO Parks and}, language = {English}, month = {March}, number = 3, pages = {518-520}, timestamp = {2019-06-06T08:06:56.000+0200}, title = {Higher Order Low Pass FIR Filter Design using IPSO Algorithm }, url = {https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/22899/higher-order-low-pass-fir-filter-design-using-ipso-algorithm/m-santhanaraj}, volume = 3, year = 2019 }