NDLI: A New Variable Step-Size NLMS Algorithm and Its Performance Analysis

Content Provider	IEEE Xplore Digital Library
Author	Hsu-Chang Huang Junghsi Lee
Copyright Year	1991
Abstract	Numerous variable step-size normalized least mean-square (VSS-NLMS) algorithms have been derived to solve the dilemma of fast convergence rate or low excess mean-square error in the past two decades. This paper proposes a new, easy to implement, nonparametric VSS-NLMS algorithm that employs the mean-square error and the estimated system noise power to control the step-size update. Theoretical analysis of its steady-state behavior shows that, when the input is zero-mean Gaussian distributed, the misadjustment depends only on a parameter β controlling the update of step size. Simulation experiments show that the proposed algorithm performs very well. Furthermore, the theoretical steady-state behavior is in very good agreement with the experimental results.
Sponsorship	IEEE Signal Processing Society
Starting Page	2055
Ending Page	2060
Page Count	6
File Size	1057598
File Format	PDF
ISSN	1053587X
Volume Number	60
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Adaptive filters Steady-state Algorithm design and analysis Vectors Least squares approximation Speech variable step-size NLMS Acoustic echo cancellation adaptive filters normalized least mean-square (NLMS) algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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