DocumentCode
519167
Title
An NLMS algorithm with variable step-size updates through selective inputs
Author
Song, In-Sun ; Chang, MoonSoo ; Park, PooGyeon
Author_Institution
Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
fYear
2010
fDate
19-21 May 2010
Firstpage
142
Lastpage
145
Abstract
This paper presents a variable step-size normalized least-mean-square (VSS-NLMS) algorithm using only one parameter. Numerous VSS-NLMS algorithms lead to fast convergence rate and low misadjustment. However, they depend on several parameters that are not simple to tune on practice. The proposed VSS-NLMS algorithm leads to fast convergence rate and low misadjustment although the algorithm uses only one parameter. Further, the parameter can be easily tuned through input data.
Keywords
convergence of numerical methods; least mean squares methods; signal processing; NLMS algorithm; convergence rate; normalized least-mean-square algorithm; selective inputs; variable step-size updates; Adaptive algorithm; Algorithm design and analysis; Convergence; Equations; Gaussian noise; Information technology; Noise measurement; Paper technology; Signal processing algorithms; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on
Conference_Location
Chaing Mai
Print_ISBN
978-1-4244-5606-2
Electronic_ISBN
978-1-4244-5607-9
Type
conf
Filename
5491516
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