variable-step-size-lms-algorithm

In our following paper, we find that the shortten codes of DVB-S2 have some problems,this program can provide a good DVB-S2

说明：  在神经网络中，用四阶统计量的方法对图像进行特征提取(In the neural network, using fourth-order statistics of the image feature extraction method)

gauss消去法解线性方程组，系数矩阵A存放于数组A中(Gauss elimination method solving linear equations, A of the coefficient matrix A stored in an array)

numerical computing matthematics matlab

This paper presents experimental results of angle of arrival (AOA) estimation for sensor node localization of wireless networks, cell id, tdoa, etc

matlab program describes bit selection

使用matlab编程实现可视化界面，界面是关于微波传输线及天线方向图。(Visualized using matlab programming interface, the interface is on the microwave transmission line and antenna.)

是电力电子电力系统的仿真书籍的matlab和simulink的仿真实例 (the simulink of simpower)

Matlab ebooks for basic and advances learning Neural Networks and information security book

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.