Motivated by these observations, we propose a consistent LMS-type algorithm for the data least square estimation problem. This novel approach is based on the geometry of the mean squared error (MSE) function, rendering the step-size normalization and the heuristic filtered estimation of the noise ...
This paper compares the convergence rate performance of the normalized least-mean-square (NLMS) algorithm to that of the standard least-mean-square (LMS) algorithm, which is based on a well-known interpretation of the NLMS algorithm as a form of the LMS via input normalization. With this inte...
-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...
The electro-hydraulic servo system was studied to cancel the amplitude attenuation and phase delay of its sinusoidal response,by developing a network using normalized least-mean-square (LMS) adaptive filtering algorithm.The command input was corrected by weights to generate the desired input for the ...
The Least Mean Square (LMS) algorithm is a basic adaptive algorithm has been extensively used in many applications as a consequence of its simplicity and robustness. In this paper we present a novel adaptive filter for de-noising the speech signals based on unbiased and normalized adaptive noise...
In this work, expressions are derived for the steady-state excess-mean-square error (EMSE) of the ε-normalized sign-error least mean square (NSLMS) adaptive algorithm for both cases of real- and complex-valued data. Moreover, a comparison between the computational load of the ε-NSLMS al...
normalizedleast—mean—squareadaptivefilteringalgorithm;trackingperformance;electro—hydraulicservosystem1IntroductionHydraulicdrivesarewidelyusedinindustry.Comparedwithothertypesofdrives,theyhavemanydistinctadvantages,suchasdevelopingacomparativelysmalldevicewithmuchlargertorque,higherresponsespeed,higherstiffnessandhigherspecific...
Complex Total Least Mean M-Estimate Adaptive Algorithm for Noisy Input and Impulsive Noise The complex domain adaptive filtering algorithms has shown excellent performance in the field of signal processing. Among them, the well-known complex leas... Z Cao,H Zhao,LY Chen - 《Circuits Systems & ...
A new variable step-size normalized least mean square algorithm (VSSNLMS) is proposed which is designed for applications where the unknown filter has an ex... L Ning,Y Zhang,Y Hao,... - 《Signal Processing》 被引量: 51发表: 2008年 A New Normalized Subband Adaptive Filter Algorithm with ...
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......