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基于DSP的lms自适应滤波器实现
- 基于DSP的lms自适应滤波器实现并仿真
LMS
- 最小均方差（LMS）滤波器时延估计算法的Matlab实现-Matlab achieve minimum mean square (LMS) filter delay estimation algorithm
AdaptiveequalizerbasedonLMSalgorithm
- 基于matlab用LMS算法实现了自适应均衡器，画出了一次实验的误差平方的收敛曲线，并给出最后设计滤波器系数。-Matlab-based algorithm using LMS adaptive equalizer, draw a square of experimental error convergence curve, and gives the final design of the filter coefficients.
lms_algorithm
- LMS算法在阵列信号处理中是很常用的算法,可应用于自适应技术。-LMS algorithm in array signal processing is a very commonly used algorithms, can be applied to adaptive technology.
zishiying
- matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(Least Square，LS)准则两大类，其他算法大多是这两种算法的演进。-matlab simulation analysis of various adaptive. . Adaptive information processing algorithms, a variety of plans, their essence ca
SC_FDE_system_frequency-domain-equalization-algori
- 。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and
LMS
- 自适应的LMS算法及其应用 本实验通过一个二阶自回归过程来研究实时数据集平均对LMS算法的影响 包含MATLAB代码-LMS algorithm
ab2
- 一种新的基于信道相关输出的可变步长LMS训练算法-A novel variable step size adjustment method based on channel output autocorrelation for the LMS training algorithm
ab3-nt
- 基于LMS算法的源节点的定位分析方法的介绍与分析-Introduction and analysis of the analytical method based on the LMS algorithm for the positioning of the source node
A-Robust-Variable-Step-Size-LMS
- 可变步长的自适应均衡器算法研究，希望对你有帮助 ieee文献-A Robust Variable Step-Size LMS-Type Algorithm _Analysis and Simulatioons
RLS
- 自适应推导过程、原理，包括RLS算法及LMS的推导过程-Adaptive derivation of principles, including the derivation of the RLS algorithm and LMS
LMS
- 阐述了LMS算法中步长选择对结果收敛的影响-Described step LMS algorithm convergence results
LMS_matlab
- LMS算法matlab实现，可以进行验证-LMS algorithm matlab realize
LMSnature
- LMS自然梯度算法，在经典的最小均方(LMS)算法中引入非线性函数,得到一种非线性LMS算法.该算法根据LMS算法建立了相应的对照函数,用自然梯度推导出了自适应盲源分离算法-LMS natural gradient algorithm, in the classical least mean square (LMS) nonlinear function in the algorithm, a nonlinear LMS algorithm. The algorithm function is
LMS-self-adaptive-equalization
- LMS算法的自适应均衡器的设计，详细介绍了LMS算法的流程。-LMS adaptive equalizer design, detailing the process of the LMS algorithm.
LMS-RLS-self-adaptive-equalization
- 基于自适应均衡器的LMS算法和RLS算法的仿真分析。-Adaptive equalizer LMS algorithm and RLS algorithm simulation analysis.
LMS
- 基于LMS算法的均衡技术在matlab上的仿真应用-Equalization technique based on the LMS algorithm in matlab simulation applications
LMS
- 一个LMS算法的具体设计，有性能表面的图，等值线图，最佳权值的位置，误差和迭代次数的图-Location specific design an LMS algorithm, the performance surface maps, contour maps, optimal weights, error and the number of iterations Figure
ade_flipud
- 自适应均衡器的仿真程序：基于抽头系数，遗忘因子，噪声方差，初始化的延迟信号设计输入信号，利用LMS 算法建立自适应均衡器滤波信号。-Adaptive equalizer simulation program: based tap coefficients, forgetting factor, noise variance, the initialization of the input signal delayed signal design, the use of the LMS algor