iPeak_2.0

说明：  例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)

PS-InSAR处理软件，StaMPS的最新版本v3.3b1(PS-InSAR processing software, the latest edition of m v3.3)

一种新的计算lyapunov指数的方法,一种新的计算lyapunov指数的方法(A new method of calculating the lyapunov index, a new method of calculating the index lyapunov)

Block Matching Algorithms for Motion Estimation This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University. Following is a short description of the m files in this zip motionsEstAnalysis.m Script to execute all Algorithms motionEstES.m Exhaustive Search Algorithm motionEstTSS.m Three Step Search Algorithm motionEstNTSS.m New Three Step Search Algorithm motionEstSESTSS.m Simple And Efficient Search Algorithm motionEst4SS.m Four Step Search Algorithm motionEstDS.m Diamond Search Algorithm motionEstARPSm Adaptive Root Pattern Search Algorithm costFuncMAD.m Mean Absolute Difference Function minCost.m minimum cost among macro blocks motionComp.m motion compensated image creator imgPSNR.m finds image PSNR w.r.t. reference image The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip

说明：  边缘检测，sobel，canny，Roberts，等算子边缘检测matlab代码(Edge detection, sobel, canny, Roberts, and other operator edge detection matlab code)

窄带信号的DOA估计，MUSIC算法程序(DOA estimation of narrowband signals ，MUSIC algorithm)

说明：  数字信号调制中的ASK,PSK,FSK的matlab仿真程序，包含了调制与解调过程(Digital signal modulation of ASK, PSK, FSK the matlab simulation program, including the modulation and demodulation process)

利用SVD_TLS算法进行ARMA功率谱估计的程序(SVD_TLS spectrum estimating program)

这是关于状态响应的两个小程序，一个是状态观测器的设计，一个是状态响应曲线的绘制。(This is about the state response of the two small programs, one state observer design, a state response curve is drawn.)

The kernel-ica package is a Matlab program that implements the Kernel ICA algorithm for independent component analysis (ICA). The Kernel ICA algorithm is based on the minimization of a contrast function based on kernel ideas. A contrast function measures the statistical dependence between components, thus when applied to estimated components and minimized over possible demixing matrices, components that are as independent as possible are found.