NSCTtransform

Implemenation of a variant of the rotation forest (Rodriguez et al., Rotation Forest: a new classifier ensemble method, PAMI 2006) proposed in L. Nanni and A. Lumini, Using ensemble of classifiers in Bioinformatics, in H. Peters and M. Vogel, Machine Learning Research Progress, Nova publisher, 2009

衰落信道仿真 function r = rayleigh( fd, fs, Ns ) r = rayleigh(fd,fs,N) A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed. INPUTS: fd = doppler frequency set fd = v*cos(theta)/lambda v = velocity (meters per second) lambda = carrier wavelength (meters) theta = angle w/ respect to tangent (radians). fs = sample frequency (Samples per second) Ns = number of samples of the Rayleigh fading process to produce OUTPUTS: r = row vector containing Ns samples of the Rayleigh fading process Author: Matthew C. Valenti Mobile and Portable Radio Research Group Virginia Tech For Academic Use Only (Fading channel simulation)

k-means算法 算法算法 算法算法 算法算法 算法算法 算法算法(k-means algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm algorithm)

Mine detection source code

Matlab图像处理基本操作及摄像机标定(Calibration of Matlab camera and image processing basic operation)

基于严格博弈论的干扰对齐算法，将博弈论与干扰对齐相结合。(Based strictly on game theory interference alignment algorithm, Game Theory and interference alignment combined.)

使用多种方法预测股市的变化率 Estimate Volatility using different methods(Estimate Volatility using different methods)

matlab code for image segementation

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

自抗扰控制器的simulink仿真，为自抗扰控制器的使用提供一个实例(Simlink simulation of ADRC provides an example for the use of ADRC.)