DocumentCode
456437
Title
Convergence and Tracking Behavior of the New SPVS-NLMS Algorithm
Author
Mowlaee, P. ; Kahaei, M.H.
Author_Institution
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran
Volume
1
fYear
0
fDate
0-0 0
Firstpage
1184
Lastpage
1185
Abstract
In this paper, the segment proportionate variable-step-size normalized least mean square (SPVS-NLMS) algorithm is proposed. Using computer simulations, we show that the proposed SPVS-NLMS algorithm performs a faster convergence compared to the segment proportionate normalized least mean square algorithm by Hongyang and Doroslovacki (2005) with a higher tracking ability for speech signals
Keywords
convergence; echo suppression; least mean squares methods; signal processing; normalized least mean square; segment proportionate variable-step-size; speech signal; tracking ability; tracking behavior; Application software; Approximation algorithms; Computer simulation; Convergence; Echo cancellers; Hearing aids; Least squares approximation; Optical reflection; Probability distribution; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location
Damascus
Print_ISBN
0-7803-9521-2
Type
conf
DOI
10.1109/ICTTA.2006.1684543
Filename
1684543
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