EMC-introduces

里面有一篇关于子空间辨识的论文，并配合相应的程序代码，对学习子空间辨识很有帮助(Inside there is a subspace identification papers, and with the appropriate code on the Learning Subspace Identification ，it is very uesful.)

Forward Modeling 1 dimension Magnetotelurik

计算区域分布指数，Moran指数，主要用于一国区域分布描述与分析(Regional distribution of index calculation)

Dirichlet 基于高斯混合的无穷维分类器(dirichlet mixture of model )

这是我见过的最好的小波教程，对于小波学习很有帮助，通俗易懂。(This is the best I' ve ever seen wavelet tutorial, for wavelet study helpful, easy to understand.)

关于SVM变成的数据与处理方法，数据的归一化函数，可以使用(About the data and processing become SVM method, data normalization function, can use )

说明：  CEC2017单目标测试函数，分享给需要的同学们(CEC2017 single objective test function)

迭代法（单点迭代法）Matlab编程实现(terative method (single iteration) Matlab Programming )

Induction machin model with matlab coding

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)