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自适应滤波算法，变步长nlms算法、wena滤波算法-Adaptive filtering algorithm, variable step-size nlms algorithm, wena filtering algorithm
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本程序对两种固定步长和一种变步长最小均方误差算法的权值收敛进行了仿真，结果表明变步长的算法效果更优。-This programme compare LMS algorithm with VSLMS algorithm. The result indicate that the latter is better.
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这里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，在传统的LMS算法的基础上发展了LMS算法的应用。另一方面又从RLS算法的分析中对其与LMS算法的不同特性进行了比较，很值得研究！-The key players here and some of the LMS algorithm is an improved LMS algorithm (NLMS algorithm, variable step size LMS algor
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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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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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这 里主要对LMS算法及一些改进的LMS算法（NLMS算法、变步长LMS算法、变换域LMS算法）之间的不同点进行了比较，，在传统的LMS算法的基础上发 展了LMS算法的应用。另一方面又从RLS算法的分析析中对其与LMS算法的不同特性进行了比较。
-Here the main difference between the LMS algorithm and improved LMS algorithm (NLMS algorithm, variable step size LMS algori
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A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is
obtained by exploiting a time-varying step size in the traditional NLMS weight update
equation. The step size is adjusted according to the square of a time-av
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By building the generalized Sigmoid function relationship between normalized step-size and the power of error signal,
a novel variable step-size NLMS algorithm is proposed. It is proved that the step-size of NPVSS-NLMS changes as
the new algorith
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一种新的变步长NLMS算法的MATLAB仿真代码，可以在MATLAB中直接调用。-MATLAB code for A New Variable Step-Size NLMS Algorithm
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自适应干扰对消噪声，有用信号为语音，干扰为高斯白噪声，变步长的NLMS算法性能分析-Adaptive interference cancellation noise and useful signals for voice, interference is Gaussian white noise, variable step size NLMS algorithm performance analysis
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variable step size NLMS, adaptive filter
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. The normalized least mean square is the most popular due to its simplicity. The stability of the basic NLMS is controlled by a fixed step size. This parameter also governs the rate of convergence, speed of tracking ability and the amount of steady-
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