Matlabgongchengshuxuejietizhidao

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

STBC-ofdm程序源文件，可以供初学者学习交流使用(STBC-ofdm program source files, can be used for beginners to learn to share their)

Biometric Fingerprint, testing application

说明：  基于MATLAB编程的最小噪声分离方法处理高光谱影像（Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing）(Minimum Noise Separation Method Based on MATLAB Programming for Hyperspectral Image Processing)

说明：  matlab图像高级处理，收录了高级处理函数，及其用法，并包含适当的例子。(matlab advanced image processing, a collection of high-level processing functions and their usage, and contains appropriate examples.)

P_Median问题的GA算法,采用了专门的编码方案，耗时段，结果精确(the GA algorithm of the P_Medium problem)

直线二级倒立摆的建模，应用lagrange方法，在mathematica里实现。(two inverted pendulum linear modeling, application ESO, In Mathematica achieve.)

设计信号用快速傅里叶变换求信号频谱功率谱(Fft spectrum signal design requirements)

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adaptive fitering of the signal and computing the spectrum of signals