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Reseach Article

Fractional Derivative based Echo Cancellation for Enhancement of Voice Quality

by Abid Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 14
Year of Publication: 2020
Authors: Abid Khan
10.5120/ijca2020920609

Abid Khan . Fractional Derivative based Echo Cancellation for Enhancement of Voice Quality. International Journal of Computer Applications. 175, 14 ( Aug 2020), 7-9. DOI=10.5120/ijca2020920609

@article{ 10.5120/ijca2020920609,
author = { Abid Khan },
title = { Fractional Derivative based Echo Cancellation for Enhancement of Voice Quality },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2020 },
volume = { 175 },
number = { 14 },
month = { Aug },
year = { 2020 },
issn = { 0975-8887 },
pages = { 7-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number14/31519-2020920609/ },
doi = { 10.5120/ijca2020920609 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:01.071272+05:30
%A Abid Khan
%T Fractional Derivative based Echo Cancellation for Enhancement of Voice Quality
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 14
%P 7-9
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Echo cancellation and echo suppression are the methods to improve the voice quality. For echo cancellation the right path of echo is necessary. When we transmit a sound signal it is severely effected by echo. In this research paper focus is given to fractional derivative based adaptive strategies for echo cancellation. Because the overall performance of fractional derivative based approach is better than other conventional methods of echo cancellation. Other conventional algorithms for echo cancellation are LMS (least mean square) , RLS (recursive least square), and NLMS (normalized least mean square). Where as FNMLS (fractional normalized least mean square) is fractional derivative based method. Therefore, we will exploit this method to improve the performance of echo cancelation algorithm. Various mathematical rule and methods used for fractional derivative based echo cancellation are Taylor series ,Grunawld letnikove method, Roy method , Matsuda method, Riemann Liouville formula and L hopital rule. In this research work I will concentrate on fractional derivative based approach for echo cancellation. General Term Echo cancellation , Fractional derivative based approach, Interlacing , Radwan procedure

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Index Terms

Computer Science
Information Sciences

Keywords

LMS NLMS RLS FNLMS ERLE PDES