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Paper Details
Paper Title
Optimal Design of Low Pass Digital FIR Filter Using Soft Computational Technique
Authors
Navneet Kaur, Balraj Singh
Abstract
The objective of this paper elaborates a procedure for designing of low pass digital finite impulse response filter with the use of Predator-Prey Optimization method. Predator-Prey Optimization (PPO) is stochastic optimization technique where the predator explores for global best in a robust manner and preys search for solution space owing to predator fear. Predator helps to avoid incomplete convergence in local optima. Various parameters like population size, acceleration constants have been tuned to attain better results.
Keywords- Digital FIR filters, Predator Prey Optimization, Low pass filter, Magnitude response and phase response.
Publication Details
Unique Identification Number - IJEDR1603068Page Number(s) - 415-422Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Navneet Kaur, Balraj Singh, "Optimal Design of Low Pass Digital FIR Filter Using Soft Computational Technique", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.415-422, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603068.pdf
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