Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2015, 2015

3659786659 / 9783659786655

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This item is printed on demand - Print on Demand Titel. Neuware -Genetic Algorithm (GA) is a computational evolutionary search technique which is based on Darwin's theory of natural selection i.e. 'best fittest will survive'. The advantage of Evolutionary algorithm is it searches a population of points in parallel, not a single point. GA has been used for the designing & analysis of Finite Impulse Response (FIR) Low Pass Filter (LPF) by optimizes the error function i.e. Mean Square Error (MSE). In this the coefficients of the filter are treated as chromosomes which are optimized by the Genetic Algorithm to obtain a filter that would satisfy prescribed specifications and also reduces the multipliers and adders of the FIR filter making the system cost effective. After designing of FIR low pass digital filter, it is also compared with other designing methods viz. Equiripple, Least Square, Window techniques and Parks-McClellan Algorithm; to verify the improved accuracy in terms of transition width and reduced side lobes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.

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Title
Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm
Author
Rahul Kumar Sahu
Publisher
LAP LAMBERT Academic Publishing Sep 2015
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659786659
ISBN 13
9783659786655
Item weight
149 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

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