case30

matlab 7.0教程 清华大学出版社出版 介绍了matlab的基本功能(matlab 7.0 tutorial)

说明：  包含Matlab十五个常用的小例子哦，菜鸟新手练手的好东东(Matlab contains a small example of 15 commonly used Oh, rookie novice practicing good hand Dongdong)

matlab codes for spatial domain filtering

Planar RR robot joint speed simulation and animation

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卡尔曼和维纳滤波器的设计及使用 附带源代码(Kalman and Wiener filter design and the use of collateral source code)

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

对广义交叉验证算法（GCV）的计算的辅助程序。(The generalized cross-validation algorithm (GCV) calculation of auxiliary programs.)

通过matlab读取文件中的视频，通过代码读取后并保存至盘中(Video read and saved to disk)

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]