RBF_cluster.m

matalab程序好用便捷，关于宏观经济，有增长，有波动研究。(matalab program easy to use and convenient, on the macro economy, there is growth, there are fluctuations in research.)

This is a code of Pseudo-Arc Length Continuation Method , the method can be used for solving the nonlinear equations, the principle can re found in some text books. In the code,I prove the agreement of the code with other methods

Abstract—In this article we provide a thorough stability analysis of two well known adaptive algorithms for equalization based on a novel least squares reference model that allows to treat the equalizer problem equivalently as system identification problem.

James H. Stapleton - Models for Probability and Statistical Inference - Theory and Applications

CGfxOutBarCtrl类源码和使用实例，类库中包括了如下文件的下载： 　　GfxOutBarCtrl.h、GfxOutBarCtrl.cpp、GfxGroupEdit.cpp、GfxGroupEdit.h、GfxPopupMenu.cpp、GfxPopupMenu.h。(CGfxOutBarCtrl class source code and use cases, class libraries are included in the following documents to download: GfxOutBarCtrl.h, GfxOutBarCtrl.cpp, GfxGroupEdit.cpp, GfxGroupEdit.h, GfxPopupMenu.cpp, GfxPopupMenu.h.)

大规模MIMO系统的信道估计方法,正确的代码(Channel estimation methods for large-scale MIMO system)

说明：  spxy，用于校正集验证集划分，基于X、Y矩阵的校正集及验证的划分(Correction set verification set partition)

说明：  曲柄运动学仿真模块M函数，牛顿辛普森求解角位移(Crank kinematics simulation module M function, Newton Simpson to solve the angular displacement)

均匀分布随机数参数检验，均匀性检验和独立性检验(Uniformly distributed random numbers parametric tests, homogeneity testing and independence testing)

KMEANSK Performs K-means clustering given a list of feature vectors and k The argument k indicates the number of clusters you want the data to be divided into. data_vecs (N*R) is the set of R dimensional feature vectors for N data points. Each row in data_vecs gives the R dimensional vector for a single data point. Each column in data_vecs refers to values for a particular feature vector for all the N data points. The output data_idxs is a N*1 vector of integers telling which cluster number a particular data point belongs to. It also outputs centroids which is a k*R matrix, where each rows gives the vector for the cluster center. If we want to segment a color image i into 5 clusters using spacial and color information, we can use this function as follows: