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2006•Modern Electronics TechniqueRequires access

An Improved Variable Step Size LMS Adaptive Filtering Algorithm

Wang Hua-kui

Open publisher page 4 citations

Abstract

The conventional fixed step size LMS algorithm is difficult to result in fast convergence speed and low steady state error simultaneously.On the basis of the problem,an improved LMS adaptive algorithm is proposed in this paper,which combine variable step size algorithm and transformdomain algorithm,it can get good convergence and misadjustment property.The results of simulating manifest the performance of the new algorithm is better than others,especially in low SNR situation.

About this research paper

What this paper is about

The conventional fixed step size LMS algorithm is difficult to result in fast convergence speed and low steady state error simultaneously.On the basis of the problem,an improved LMS adaptive algorithm is proposed in this paper,which combine variable step size algorithm and transformdomain algorithm,it can get good convergence and misadjustment property.The results of simulating manifest the performance of the new algorithm is better than others,especially in low SNR situation.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

The conventional fixed step size LMS algorithm is difficult to result in fast convergence speed and low steady state error simultaneously.On the basis of the problem,an improved LMS adaptive algorithm is proposed in this paper,which combine variable step size algorithm and transformdomain algorithm,it can get good convergence and misadjustment property.The results of simulating manifest the performance of the new algorithm is better than others,especially in low SNR situation.

Key concepts: Convergence (economics), Least mean squares filter, Adaptive filter, Variable (mathematics), Algorithm, Computer science, Rate of convergence, Adaptive algorithm

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