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lms
- 自适应滤波器的核心是自适应算法。最小均方算法(LMS) 和递归最小二次方算法RLS) 。通过对这两种算法的推导过程,可以清楚的了解到自适应算法的理论体系,-Adaptive filter is the core of adaptive algorithm. Least mean square algorithm (LMS) and recursive least quadratic algorithm RLS). Through the derivation of these two algor
LMSFilterMatlab
- 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
LMSADAPTIVEFILTERALGORITHM
- LMS自适应算法,这个是LMS的基础算法，后面的一段是由公式给出的-LMS adaptive algorithm, this is the basis of LMS algorithm, the back section is given by the formula
LMS
- 这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.
matlab
- 自适应的最小均方算法：只要自适应线性组合器每次迭代运算时都知道输入信号和参考响应，选用LMS算法很合适。-Adaptive least mean square (LMS) algorithm: as long as the adaptive linear combiner for each iteration when they know that the input signal and reference response, selection of LMS algorithm is ver
floodFill4
- 种子填充opengl例程，大家快来下啊 种子填充opengl例程，大家快来下啊-Lms algorithm leading well-known algorithm for lms algorithm is well-known lms
LMS
- 基于LMS算法的matlab实现，比较基本的LMS算法，可用于自适应滤波器仿真-Matlab implementation based on LMS algorithm is a basic implementation of LMS algorithm for adaptive filter simulation.
lms
- 最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear
lms
- LMS自适应滤波算法的MATLAB仿真程序-LMS adaptive filtering algorithm MATLAB simulation program
13898373LMS
- LMS波束形成算法，很有用的-LMS beamforming algorithm，It is useful....
LMS
- lms算法的matlab仿真集合。5种方式实现。很好的仿真程序-lms algorithm matlab simulation set. 5 kinds of ways. Good simulation program
LMS
- LMS的经典算法，配合习题，出图效果良好，仿真效果良好，-The classic LMS algorithm, with exercises, a figure to good effect, the simulation result is good,
MyLMS
- LMS算法函数，基于自适应滤波器的噪声抵消算法研究-LMS algorithm function, based on adaptive filter noise cancellation algorithm
SASG
- SASG分布噪声的程序及结果，包括自动生成sas稳定分布序列，RMN算法，LMS算法等。-SASG noise distribution procedures and results, including automatically generated sas stable distribution sequence, RMN algorithm, LMS algorithm.
lms
- 最小均方误差自适应滤波算法对信号的处理例程-LMS algorithm demo
dfe_nlms
- 实现基于归一化LMS算法的判决反馈均衡器的实现，通过眼图仿真-Feedback equalizer based on the judgment of the normalized LMS algorithm to achieve through the eye diagram simulation
LMS_NLMS
- 实现基本的LMS算法和归一化LMS算法学习曲线的比较仿真-LMS algorithm and normalized LMS algorithm learning curve comparing simulation
LMS
- 仿真演示自适应最小均方LMS算法的性能: 全矢量噪声，失调量，自适应时间之间的关系。-Simulation demonstrates adaptive least mean square LMS algorithm performance: relationship full vector noise, offset the amount of time between adaptation.
LMS-algorithm
- LMS算法的Matlab程序，很详细，有用的程序。-LMS algorithm
基于LMS算法的自适应滤波器设计与实现
- 因LMS算法具有低计算复杂度、在平稳环境中的收敛性好、其均值无偏地收敛到wiener解和利用有限精度实现算法时的稳定性等特性，使LMS算法成为自适应算法中应用最广泛的算法。(Because LMS algorithm has low computational complexity, convergence in stable environments, the mean unbiased converges to the Wiener solution and the finite preci