Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: Using Mean Square Error Approach, by Rahul Kumar Sahu, Vandana Vikas
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Design And Analysis Of A Low Pass FIR Filter Using Genetic Algorithm: Using Mean Square Error Approach, by Rahul Kumar Sahu, Vandana Vikas
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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.
- Published on: 2015-09-22
- Released on: 2015-09-22
- Original language: English
- Number of items: 1
- Dimensions: 8.66" h x .20" w x 5.91" l, .31 pounds
- Binding: Paperback
- 88 pages
About the Author
Rahul Kumar Sahu received his B.Tech. Degree in Electronics and Communication Engineering from Gautam Buddh Technical University,Uttar Pradesh, India in 2011 and Master of Engineering in Communication Control and Networking (CCN) from Madhav Institute of Technology & Science,Gwalior under RGPV University Bhopal, Madhya Pradesh, India in 2015.
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In this all the things are explained from a very basic thing like What is Genetic Algorithm
By RAHUL KUMAR SAHU
This book is very helpful for Designing of Low Pass FIR Filter using Genetic Algorithm.This is fully based on the MATLAB basis. In this all the things are explained from a very basic thing like What is Genetic Algorithm, Filter designing, traditional methods and many more so this book is very usefull and I'm always recommnded to this for future scope. Please go through it.
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