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
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;
Conference_Titel :
Information and Communication Technologies, 2006. ICTTA '06. 2nd
Conference_Location :
Damascus
Print_ISBN :
0-7803-9521-2
DOI :
10.1109/ICTTA.2006.1684543
