Open AccessJournal Article
A New Variable Step-Size LMS Algorithm
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TL;DR: The algorithm, though adjusting the step size parameters, makes the weight vector optimal,thus improves effectively the convergence rate and steady-state error performance.
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Abstract: Based on brief discussion of basic LMS,by constructing a nonlinear function between the step factor μ and the error signal e(n) ,a new variable step-size LMS algorithm is proposed,along with the performance analysis with regard to different parameters.The algorithm,though adjusting the step size parameters,makes the weight vector optimal,thus improves effectively the convergence rate and steady-state error performance.The theoretical analysis and simulation results shows that this algorithm,as is of compared with the basic LMS algorithms and some similar variable step-size algorithms,faster convergence speed and smaller steady-state error.This further indicates that this new algorithm is superior to other algorithms.
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Citations
Improved NLMS-based adaptive denoising method for ECG signals.
Wang Fengsui,Wang Fengsui,Qisheng Wang,Qisheng Wang,Furong Liu,Furong Liu,Jingang Chen,Jingang Chen,Linjun Fu,Linjun Fu,Fa Zhao,Fa Zhao +11 more
TL;DR: In this article, an improved adaptive normalized least mean square (NLMS) ECG signal denoising algorithm is proposed through utilizing the NLMS and the least-mean square algorithm with added momentum term (MLMS).
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Adaptive filter and noise cancellation
Xing-Tuan Yang,Wei He,Hua-Fu Li,Li-Min Feng +3 more
- 01 Jan 2017
TL;DR: The purpose of this paper is from the FIR filter and adaptive noise cancellation in found in adaptive filter, the different response of the filter selection according to the required performance need.