Abstract
Designing a good performance FIR filter is a core problem in signal processing field over the years in determining the sample value in the transition zone. Obviously, Genetic Algorithm method cannot guarantee that interpolator is the optimal sampling point. This method is complex in structure which takes longer time in operation & suffers from local optimal solutions. In this paper PSO method is used to determine the frequency response of Digital FIR low pass filter, consequently the optimal filter coefficients are obtained with fast convergence speed and also error function is minimized, when compared with the errors obtained from windowing techniques. PSO algorithm is implemented in FIR filter in an efficient way to improve the stop band attenuation such that the samples are interpolated near the discontinuity and reduce errors. The performance of this PSO is compared with the conventional window techniques have been verified via computer simulations using Matlab.
An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-319-00951-3_31
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-00951-3_31
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© 2013 Springer International Publishing Switzerland
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Kumar, P.U., Sarma, G.R.C.K., Das, S.M., Kamalnath, M.A.V. (2013). Design of Optimal Digital Fir Filter Using Particle Swarm Optimization Algorithm. In: Nagamalai, D., Kumar, A., Annamalai, A. (eds) Advances in Computational Science, Engineering and Information Technology. Advances in Intelligent Systems and Computing, vol 225. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00951-3_19
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DOI: https://doi.org/10.1007/978-3-319-00951-3_19
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00950-6
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