MATLAB codes used in Mathematical Methods for Diff

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

关于开关电容电路的自适应转换频率的模拟方法(SWITTEST ,Automatic Switch-level Fault Simulation)

跟踪滤波方法：概率数据互联。封装性能好！(Tracking filter method: probabilistic data association. Package good performance!)

本算法使用matalab语言编写，主要用于计算一个域内的骨骼(The algorithm USES matalab language, mainly used for calculating a domain of bone)

使用MATLAB函数中的FFT命令计算离散时间信号的频谱，以加深对离散信号的DFT的理解及其FFT算法的运用。(using MATLAB function FFT calculation order discrete-time signal spectrum, to increase the discrete signals in the DFT and FFT algorithm understanding of the application.)

利用割线法、进退法、黄金分割法等求解给定区间内的极大值与极小值(Using the secant method, advance and retreat, such as golden section method for solving the given interval maxima and minima )

多目标粒子群算法求解模糊多目标的问题，快速有效。(Application of Multi-Objective Particle Swarm Optimization to Solve a Fuzzy Multi-Objective Reliability Redundancy Allocation Problem)

packet error rate for direct wireless link from source wireless body area network node to the coordinator

随机状态子空间实验模态参数识别方法算法源程序(ssi modal identification)

MATLAB编程，我认为最实用的一部书。的确很详细，从新手到高手。(MATLAB programming, I think it is the most practical one book. Which is very detailed, from the novice to master.)