Because of the decreasing characteristic of the thresholds, the proposed algorithm can also be interpreted as a robust diffusion normalized least mean square algorithm with variable step sizes so that it has not only fast convergence but also small steady-state estimation error. Based on the ...
Keywords:amplitudeattenuation;phasedelay;normalizedleast—mean—squareadaptivefilteringalgorithm;trackingperformance; electro—hydraulicservosystem 1Introduction Hydraulic drives are widely used in industry. Comparedwithothertypesofdrives,theyhavemany distinctadvantages,suchasdevelopingacomparatively smalldevicewithmuchlarg...
5) normalized least mean square algorithm 归一化最小均方算法6) PNLMS 比例归一化最小均方差补充资料:平均值-标准值控制图 分子式:CAS号:性质:平均值和标准差控制图的一起使用,简记为x-s图。前者用来判断产品质量特性量值的平均值是否处于或保持所要求的水平,后者用来判断产品质量特性值的标准差是否处于或...
4) normalized least mean square algorithm 归一化最小均方算法5) Reiterative Minimum Mean-Square Error 递归最小均方误差算法 1. The frequency band congestion has become an important problem in radar and communication fields In this dissertation, we firstly give the Reiterative Minimum Mean-Square ...
The conventional normalized least mean square (NLMS) algorithm is the most widely used for adaptive identification within a non-stationary input context. The convergence of the NLMS algorithm is independent of environmental changes. However, its steady state performance is impaired during input sequence...
-square adaptation. On the convergence rate performance of the normalized least-mean-square adaptation.On the convergence rate performance of the normalized least-mean-square adaptation.Presents a comparison of the convergence rate performance of the normalized least-mean-square (NLMS) algorithm to that...
A Variable Step-Size Partial-Update Normalized Least Mean Square Algorithm for Second-Order Adaptive Volterra Filters Partial-update (PU) algorithms offer reduced computational complexity to adaptive second-order Volterra filters (SOV) in nonlinear systems while retaining ... K Mayyas,L Afeef - 《Cir...
I. INTRODUCTION N adaptive filtering applications for modeling, equalization, control, echo cancellation, and beamforming, the widely used least-mean-square(LMS) algorithm has proven to be both a robust and easily-implementedmethod for on-line estimation of time-varying system parameters. The LMS ...
5) normalized mean squared error 归一化均方误差 6) normalized least mean square algorithm 归一化最小均方算法 补充资料:均方根误差 分子式: CAS号: 性质:又称均方根误差,当对某一量进行甚多次的测量时,取这一测量列真误差的均方根差(真误差平方的算术平均值再开方),称为标准偏差,以σ表示。σ反映了测...
Sign-Normalized IIR Spline Adaptive Filtering Algorithms for Impulsive Noise EnvironmentsIn this paper, a new sign-normalized least-mean-square adaptive filtering algorithm based on IIR spline adaptive filter (IIR-SAF-SNLMS) is proposed. By using the absolute value of the a posteriori......