MATLAB-Simulink

Edge detection in microscopy images using curvelets

第二代Contourlet工具包，处理去噪，压缩，分割效果很好，是应用的热点。Matlab语言的(Contourlet Kit second generation, processing denoising, compression, segmentation works well, is the application of the hot spots. Matlab language)

<<Matlab_simulink通信系统仿真与建模实例精讲>>光盘内容，包含OFDM通信系统，MIMO通信系统，DS_CDMA通信系统，IS95前向链路系统，读者运行各通信系统的主程序就可以进行系统仿真。(" <Matlab_simulink通信系统仿真与建模实例精讲> " CD-ROM content, including OFDM communication system, MIMO communication systems, DS_CDMA communication systems, IS95 forward link system, the reader of the main program to run the communications system simulation can be carried out.)

Modulation of signal like amplitude modulation

MIMO decoupling with dynamic decoupling

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

克莱莫斯迁移速率、逃逸速率，功率谱分析，信噪比等simulink仿真。(Clay Moss migration rate, escape rate, power spectral analysis, signal to noise ratio and other simulink simulation.)

迹线法实现轮轨接触，是轮轨接触力及垂向力的基础内容，需要轮轨接触角及型面数据作为初始 内容(Trace method to achieve the wheel-rail contact, is wheel-rail contact force and the vertical force base, you need a wheel-rail contact angle and surface data as the initial content type)

压缩包中的程序用于局部放电的模式识别，里面包含去噪，特征提取及模式识别程序。(Compressed package in the program for partial discharge pattern recognition, which contains denoising, feature extraction and pattern recognition procedures)

Hi this code for Video Denoising using sparse transformation. simply add the video u can see the difference. it working fine. tested.