CS(matlab)

This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB. There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm. (This program is a new way to estimate the coherence function. It s based on the MVDR and is much more reliable than the classical Welch s method implemented in MATLAB.There are 2 programs: the main program called coherence_MVDR.m and and an example, called illustrate.m, that calls the main function to show how it works. There also included 2 papers that we published on this algorithm.)

本程序可实现对一维信号的压缩感知ROMP重构(This program can be realized on the perception of one-dimensional signal compression reconstruction ROMP)

说明：  二维的悬臂梁问题，简单实用，采用EFGM方法，适合初学者。(2-dimensional cantilever beam problem, simple and practical, using EFGM method, suitable for beginners.)

小波变换在信号处理中的应用，应用db5小波对例子信号进行7层分解(Wavelet transform in signal processing applications, application db5 example wavelet decomposition of signal layer 7)

采用matlab编写的数值方法中的案例，持续更新中(Case numerical methods matlab prepared and continuously updated in)

说明：  levy噪声，两个文件，levy是产生levy噪声，另一个是画图(Levy noise, two files, levy is the generation of levy noise, the other is drawing)

说明：  武汉理工大学的程磊上传非常有用的MATLAB时频分析工具箱(Wuhan University of Technology Cheng Lei upload very useful time-frequency analysis of MATLAB Toolbox)

LS-SVM Leave-One-Out Cross-Validation Demo G. C. Cawley, "Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs", Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), pages 1661-1668, Vancouver, BC, Canada, July 16-21 2006. (pdf)theoval.cmp.uea.ac.uk/~gcc/matlab/

说明：  对彩色图像进行K均值的图像分割，可用于模式识别(K on the mean color image segmentation, can be used for pattern recognition)

this is a simple matlab code for adding two numbers with basics tutorial