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《JOURNAL OF DATA ACQUISITION & PROCESSING》 1997-03
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A Novel Variable Step Size LMS Adaptive Filtering Algorithm Based on Sigmoid Function

Qin Jingfan; Ouyang Jingzheng(Res. Inst. of Radio and Automatic Control,South China Univ of Tech Guangzhou,510641.)  
Although classical LMS algorithm has simple complexity and easy to be implemented, its convergence sPeed is very slow. In order to speedup the convergence process, one can increase the step size,but at the same time, the steady state error will be large and even the algorithm may hecDme unstable.Fixed step size can not result in fast convergence speed and low residual error simultaneously. By building a nonlinear function relationship between μ andthe error signal, this paper presents a novel variablestep size adaptive filtering algorithm, i. e. SVSLMS.The excellent properties of the SVSLMS algorithm are confirmed by theoretical analysis and computer simulations.
【Fund】: 国家自然科学基金;;国家教委博士点基金;;广东省自然科学基金
【CateGory Index】: TN713
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