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《Acta Electronica Sinica》 2006-06
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A New Variable Step Size LMS Adaptive Filtering Algorithm

LUO Xiao-dong,JIA Zheng-hong,WANG Qiang(College of Information Science and Engineering,Xingjiang University,Urumqi,Xinjiang 830046,China)  
By building a nonlinear function relationship between μ and the error signal,this paper presents a novel variable step size LMS(Least Mean Square)adaptive filtering algorithm.The step size of this algorithm increases automaticly at the beginning of this algorithm or when unknown system is changing with time,and it would be smaller during the steady state.This algorithm avoid the shortage of changing step size of SVSLMS,variable step size LMS based on Sigmoid function,in the process of the adaptive steady state.The performance of this paper algorithm is better than that of SVSLMS with the theoretical analysis and computer simulations.
【CateGory Index】: TN713
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