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Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algo
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By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
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Performance analysis of a new variable step-size LMS algorithm with error nonlinearities
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采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is t
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一种变步长的lms算法实现，用MATLAB编写。-A variable step size lms algorithm, using MATLAB write.
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介绍了一种新的变步长LMS自适应滤波算法。该算法具有较快的收敛速度和较小的失调，并且他不受已经存在的不相关噪声的干扰。-This paper introduces a new variable step size LMS adaptive filtering algorithm. That the algorithm has a faster convergence speed and a smaller offset, and he is not already in existence ar
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介绍了一种新的变步长LMS自适应滤波算法。该算法具有较快的收敛速度和较小的失调，并且他不受已经存在的不相关噪声的干扰。-This paper introduces a new variable step size LMS adaptive filtering algorithm. That the algorithm has a faster convergence speed and a smaller offset, and he is not already in existence ar
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一种变步长LMS自适应滤波算法及分析,电子学报，高鹰，谢长利提出的一种算法。本文提供该文中提出算法的matalb源程序文件，仅供大家参考。-A Variable Step Size LMS Adaptive Filtering Algorithm and analysis, electronic Journal of High Eagle, Xiechang Li proposed an algorithm. This article provides the text of the propo
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proposes a Verilog implementation of the
Normalized Least Mean Square (NLMS) adaptive algorithm,
having a variable step size. The envisaged application is the
identification of an unknown system. First the convergence of
derived LMS algorithm
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一种变步长LMS的算法，描述了与基本LMS算法的比较，随着迭代次数的增加，变步长的LMS算法达到最优的迭代次数少-A variable step size LMS algorithm, describes the basic LMS algorithm and compare that with the increase in the number of iterations, variable step size LMS algorithm to achieve the optimal num
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一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾-An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step
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本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中-this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna
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This derivation of the normalised least mean square algorithm is based on Farhang-
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
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This derivation of the normalised least mean square algorithm is based on Farhang-
Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm
we consider the standard LMS recursion, for which we select a variable step size
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一种变步长LMS算法及其Matlab仿真-A variable step size LMS algorithm and its Matlab simulation
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一种变步长的归一化最小均方自适应滤波算法的实现-A variable step size normalized least mean square adaptive filter algorithm to achieve
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基与matlab仿真平台，编写变步长LMS自适应滤波器算法，该算法能够解决收敛速度和稳态精度的固有矛盾。-Based on Matlab simulation platform, the preparation of a variable step size LMS adaptive filter algorithm, which is able to resolve the contradictions inherent in convergence speed and steady prec
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MATLAB实现一种新的变步长的LMS算法，即对步长因子进行了改进，将步长因子与误差因子间建立函数关系提出变步
长LMS新的算法-MATLAB implementation of a new variable step size LMS algorithm, that step factor is improved, will be established as a function of time step size and the error factor proposed variab
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一种变步长lms算法matlab仿真绝对可用-A variable step size lms algorithm matlab simulation is absolutely available
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变步长LMS自适应滤波算法，可以自己随意添加各种噪声，采用的正弦信号，最后可以输出满意的结果。-Variable step size LMS adaptive filtering algorithm, you can add a variety of random noise, the use of sinusoidal signal, and finally can output satisfactory results.
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