Least mean squareNoise reduction processSpeech signalsWiener filterAdaptive noise reductionAdaptive filtersSpeech signals play a major role in the human communication system. In speech processing applications like hearing aids, automatic speech recognition, mobile phones, car communication, voice coders, ...
目录LMS算法概述: LMS主要原理: LMS实现步骤: LMS替代矩阵求逆示例: LMS算法概述: LMS(Least Mean Square),源自LEAST-MEAN-SQUARE ADAPTIVE FILTERS,通过迭代的方式估计出待求参数的最优逼近,常用于滤波。 以为例,, 分别为已知量,为未知量。常规的求解方式即 求得精确解(将看成输入信号,看作未知系统,看作输出...
The filters do not converge, and the estimated weights are not good approximations of the actual weights. mu = 0.2; lms = dsp.LMSFilter(13,'StepSize',mu); [~,~,w] = lms(x,d); stem([(filt.Numerator).' w]) title('System Identification by Adaptive LMS Algorithm') legend('Actual...
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WEINBACH U;RAZIQ N;COLLIER P.Mitigation of periodic GPS multipath errors using a normalised least mean square adaptive filter.Journal of Spatial Science.2009.1-13Weinbach U, Raziq N & Collier P 2009, 'Mitigation of periodic GPS multipath errors using a normalised least mean square adaptive filter...
A problem commonly encountered in the design of adaptive filters is selection of the step size parameter, μ. In the harmonic reduction problem, a step size parameter μ(n) is used. To evaluate the a posteriori estimation error έ at the nth instant, (11.31)έ(n)=d(n)–w(n+1)Tx...
Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of t...
Keywords:amplitudeattenuation;phasedelay;normalizedleast—mean—squareadaptivefilteringalgorithm;trackingperformance; electro—hydraulicservosystem 1Introduction Hydraulic drives are widely used in industry. Comparedwithothertypesofdrives,theyhavemany distinctadvantages,suchasdevelopingacomparatively smalldevicewithmuchlarg...
Noise can also be suppressed by continuous adaptation of the weights of the adaptive filter. The change of weight vector in adaptive filters is done with the help of various adaptive algorithms. Few of the basic noise reduction algorithms include Least Mean Square algorithm, Recursive Least Square...
"Simulation Evaluation of LeastMean Square (LMS) Adaptive Beamforming Algorithm for Smart Antennas," The IUP Journal of Telecommunications, vol.4, no.1, pp.27-39, 2012.AZUBOGU A C O, NWALOZIE G C,IDIGO V E,et al. Simulation evaluation of least mean square(LMS) adaptive beamforming ...