arcss

说明：  包括copula分布参数估计、秩相关系数估计、平方欧式距离求解等，两个随机变量，从求边缘分布，到求二元联合copula函数的全过程，(copula function estimate)

这是在MATLAB下写的一段程序是个时钟动画,很有意思,可以从中领悟如何在MATLAB下来编写程序(This is in the Writing section of MATLAB procedures under the clock are animation, very interesting, can understand how to down MATLAB programming)

image stegno basic code matlab..

QAM调制与解调——包含了多种多进制的正交调制与解调(QAM modulation and demodulation- contains a variety of M-ary orthogonal modulation and demodulation)

这个例子是书上的Morlet小波程序，运行时总是出错。包括 ??? Error using ==> CWT_Morlet at 11 At least 1 parameter required! 这个问题是怎么回事？error的用法错在哪里了？还有，这个程序还有哪些错误呢？比如函数定义之类的问题？请各位大侠帮帮我吧。( Review the release notes for other MathWorks® products required for this product (for example, MATLAB® or Simulink® ). Determine if enhancements, bugs, or compatibility considerations in other products impact you. If you are upgrading from a software version other than the most recent one, review the current release notes and all interim versions. For example, when you upgrade from V)

《Matlab/Simulink通信系统建模与仿真实例分析学习辅导与习题详解》一书配套关盘，包含全部m文件、simulink模块(" Matlab/Simulink modeling and simulation of communication systems to learn counseling and case study exercises Comments," closed the book supporting disk, containing all the m file, simulink block)

本代码包括小波包能量的提取，可以用于振动声发射噪声以及力信号的特征提取(this code is for energy of wpt Feature extraction such as Acoustic emission，vibration sound and force )

Fast Visibility Restoration from a single Color or Gray level Image source code

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

这是一款用matlab编写的GMM算法，有样例，实现用EM算法寻找GMM参数(This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter)