dijkstra

基于matlab实现的自身运动估计仿真程序。通过对视频图像的分析，快速估计摄像机自身的运动状态。(Estimate based simulation program matlab realize their movement. Through the analysis of video images, the camera quickly estimate its state of motion.)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

MAGNITUDE AND PHASE RESPONSE OF HIGH AND LOWPASS FILTER

PID算法控制器的仿真,连续信号的PID控制器仿真(PID algorithm controller simulation, a continuous signal simulation of PID controller)

基于相关的模板匹配算法的Matlab实现，表示出了相应的匹配区域(Template matching algorithm based on the correlation of the Matlab implementation, expressed the corresponding matching region)

This application solves the Euler incoming supersonic flow around a cylinder by a finite volume method. It was developed at Massachusetts Institue of Technology.

this is a well data number 3 for RPH sample, stored in las format

matlab 实现arnold 图像置乱(matlab arnold)

归一化LMS算法，自己更改参考信号和期望信号(normalized LMS algorithm，change the reference signal and desired signal by yourself)

object oriented handling example