DocumentCode :
672951
Title :
A New Variable Step-Size NLMS Adaptive Filtering Algorithm
Author :
Minchao Li ; Xiaoli Xi
Author_Institution :
Sch. of Autom. & Inf. Eng., Xi´an Univ. of Technol., Xi´an, China
fYear :
2013
fDate :
16-17 Nov. 2013
Firstpage :
236
Lastpage :
239
Abstract :
There is a contradiction in classical adaptive filtering algorithm that fast convergence speed comparing with low steady state error. In order to improve this contradiction, this paper presents a new non-parametric Variable Step-Size NLMS algorithm. The new algorithm uses gradient vector´s features to achieve the step iteration and a certain approximation process was made for it. Software simulation and hardware implementation verify the effectiveness of the algorithm.
Keywords :
adaptive filters; least mean squares methods; gradient vector feature; nonparametric variable step-size NLMS algorithm; normalized least mean square algorithm; variable step-size NLMS Adaptive filtering algorithm; Adaptive filters; Algorithm design and analysis; Approximation algorithms; Convergence; Signal processing algorithms; Software algorithms; Steady-state; NLMS algorithm; adaptive filtering; spatial filtering; variable step-size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (ITA), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-2876-7
Type :
conf
DOI :
10.1109/ITA.2013.62
Filename :
6709978
Link To Document :
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