Caro_Mora.m

EMD工具箱，里面有EMD变换工具箱及工具箱安装的具体操作(EMD toolbox, there are specific to the operation of the EMD transform and the installation of the toolbox toolbox)

是我见过讲的最详细的关于稀疏信号的书，讲解了稀疏分解，以及书后的程序都是很好用的(Ive seen talking about the most detailed book about the sparse signal, explained the sparse decomposition, and program books are well used after)

基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)

正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)技术以其频谱利用率高和抗频率选择性衰落强等优点，成为下一代移动通信中最具竞争力的关键技术之一(OFDM (Orthogonal Frequency Division Multiplexing, OFDM) technology for its high spectrum efficiency and strong anti-frequency selective fading, etc., to become the next generation of mobile communications in the most competitive one of the key technologies)

matlab符号运算课件，可进行带符号运算(matlab symbolic computing courseware, could carry out symbolic manipulation)

chaos modulation using simulink

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很好的实现了LDPC码字的生成，强烈建议使用此生成矩阵进行编码调制(LDPC codeword generated, it is strongly recommended to use this generator matrix code modulation)

说明：  实现图像的分割。改程序是在matlab环境下运行的，程序中用到了k-means算法，实现的结果很不错(This is the program of image segmentation based on the following work: S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing. Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it.)

本程序描述了有导师学习神经网络回归拟合的一般方法，简单易懂(This procedure describes the teacher learning neural network and the method of regression fitting, easy to understand)