UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREL06023


Registration ID:
306003

Page Number

117-122

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Title

Optimisation of FIR filter coefficients using PSO and BAT algorithm

Authors

Abstract

Natural image distortions effect human visual experience. In this paper an effective methodology has been used to design FIR filter using particle swarm optimization and BAT optimization. A viable methodology has been proposed in this paper for optimizing FIR filter coefficients using PSO and BAT algorithm. Image enhancement is the process of manipulation or adjustment of image with software for improving image quality to make it more suitable for the further analysis. Noises can be removed by using different types of filters. Optimization effectiveness of BAT algorithm over PSO algorithm has been depicted by the comparison of simulation results from these two techniques.

Key Words

FIR, PSO, BAT algorithm, generations, FIR filter

Cite This Article

"Optimisation of FIR filter coefficients using PSO and BAT algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.117-122, February-2019, Available :http://www.jetir.org/papers/JETIREL06023.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optimisation of FIR filter coefficients using PSO and BAT algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp117-122, February-2019, Available at : http://www.jetir.org/papers/JETIREL06023.pdf

Publication Details

Published Paper ID: JETIREL06023
Registration ID: 306003
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 117-122
Country: Jalandhar, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162


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