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一种全新的计算嵌入维数的算法，读者可以根据自己的需要再编写。(a new qianru suanfa of chaos)

MIMO块对角化预编码2发2收，每个用户2根接收天线时的情形。(MIMO block diagonalization precoding 2 Fat 2 received, each user two situations when the receiving antenna.)

The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine validity_Index.m is designed to use them. This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox. i) External validity indices when true class labels are known: Rand index Adjusted Rand index Mirkin index Hubert index ii) Internal validity indices when true class labels are unknown: Silhouette Davies-Bouldin Calinski-Harabasz Krzanowski-Lai Hartigan weighted inter- to intra-cluster ratio Homogeneity Separation iii) Others Error rate (compared with true labels) System Evolution: it is used to estimate the number of clusters and give separable degrees between clusters.

关联维计算程序，以GP算法为主，计算2范数(Correlation dimension calculation program for GP-based algorithm to calculate the 2-norm)

Softmax 函数处理，softmax 用于 Deep Learning 后的分类器的实现与识别，此函数的参数经过优化，有较强的泛化能力和性能(Softmax function processing, softmax classifier Deep Learning for the realization and recognition, the parameters of this function is optimized, there is a strong generalization ability and performance)

mimo2*2 alamouti编码方式仿真程序. ber的图和alamouti论文的图一样。(mimo2* 2 alamouti encoding simulation program. ber of the map and graph paper as alamouti.)

System passenger turns giving agencies

一个变步长仿射投影算法，包括论文及仿真代码，已调试通过(A variable step-size affine projection algorithm, including the papers and the simulation code, has been debugged)

自适应，arma ，gm ，都是根据论文写得，结果和论文一样，仅供参考。(Adaptive, arma, gm, are based on written papers, and papers as a result, are for reference only.)

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)