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3-D FDTD code with PEC boundaries Program author: Susan C. Hagness

functions of a circular array

unit commitment problem

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 )

这个程序是用ｍａｔｌａｂ程序编写的应用数值方法计算二维平板传热的一个应用程序，含有源代码和公式，可以根据具体参加和情况进行二次开发，简单使用，非常方便。(use the Matlab to build a code,use numirical method to solve 2-D heat transfer problem, cold in the pack,can be modified by your need)

说明：  数字基带传输系统仿真及性能分析 数字基带传输系统仿真及性能分析(matlab base system )

OFDM收发机matlab仿真代码，比较全面，包括编解码调制解调，信道估计等(OFDM transceiver matlab simulation code)

该程序是在matlab环境下对加性高斯白噪声信道的无线通信中的直接序列扩频系统进行仿真。(The program is in the matlab environment of additive white Gaussian noise channel in the wireless communications system for direct sequence spread spectrum simulation.)

说明：  SVDD 是一种重要的数据描述方法, 它能够对目标数据集进行超球形描述, 并可用于异类点检测或分类. 在现实生活中目标数据集通常包含多个样本类, 且需要同时对每一个样本类进行超球形描述。(SVDD is an important data description method, which can describe the hypersphere of the target data set, and can be used for the detection or classification of heterogeneous points. In real life, the target data set usually contains multiple sample classes, and needs to describe each sample class at the same time.)

高频系数融合均采用基于像素点绝对值取大的规则，这里要注意的是，比较的对象是两幅原始图像的像素点的绝对值，而融合后图像的像素点的取值是两幅原始图像像素点绝对值大的那一点的值，也就是说，要取绝对值大的那个点的实际值