MonteCarlo

连续相位调制CPM的软输入软输出SISO解调(Continuous phase modulation CPM soft input soft output SISO demodulator)

该压缩包里有基于压缩感知理论的stomp、omp、和bp算法，在处理二维图像上比较有优势，可直接在matlab上运行(The bag is compressed based on compressed sensing theory stomp, omp, and bp algorithm, in dealing with a comparative advantage on the two-dimensional image can be directly run in matlab)

Matlab上实现的多尺度、多方向、多频率的二维gabor滤波器(2D gabor filter achieved by Matlab, based on multi-scale, multi-directional, multi-frequency )

MSK调制和直接序列扩频的结合，simulink仿真模块，对学习扩频通信有很大帮助，内有详细参数设置(MSK modulation and a combination of direct sequence spread spectrum, simulink simulation module, the learning spread spectrum communication helps a lot, with detailed parameter settings)

The motion picture generation tha frames using matlab

Simulink建模与仿真。包含一本关于Simulink建模仿真的书，以及一个很好的课件。(Simulink modeling and simulation. Contains a book on the Simulink modeling and simulation, as well as a good courseware.)

一个灰色模型的matlab实现，包含GM(1,1),GM(1,N),GM(2,1)和vershlust模型的系数计算，数值预报和误差分析以及图形输出(A gray model matlab realize, including GM (1,1), GM (1, N), GM (2,1) model and vershlust coefficient calculation, numerical weather prediction and error analysis, and graphical output)

说明：  利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, the data and graphics written independently by oneself are very worthwhile to learn, realizing SVM compressed image, MATLAB language)

简明扼要的介绍了共轭梯度法matlab程序(Concise introduction to the conjugate gradient method matlab program)

This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each cluster replaces the centroid first. If the total distance is not improved substantially, The centroids are each split to two. This goes on untill the required number of clusters is reached and the improvement is not substantial.