pca(matlab)

分析了计算四波混频效率的表到式在考虑非线性相位失配因子和不考虑非线性相位失配因子两种情况下，四波混频效率计算的差别(Analysing the expression of DFWM in the optical fiber under the consideration of nonlinear phase mismatch factor, then comparing the result to the expression which includes only linear phase mismatch factor.)

基于lbm的，圆柱绕流问题的matlab程序代码(Based lbm, the flow around a cylinder matlab code)

UCF Content Transfer Tuning Guide

LDPC Discription Decoder

COURS SUR LES RESISTANCES

Skin cancer melanoma segmentation- image processing. efficient detection of diameter and roundness in segmented part

先进PID控制例程，配套先进pID控制图书(Advanced PID control routines, supporting advanced control pID Books)

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]

matlab环境下的 PCA人脸识别方法，连续输入图像后，主成分分析，特征提取，形成特征脸训练测试，得出精度(face recognition)

An eye control device based on image processing is developed to assist mobility. The eye movement is detected using a camera which is attached to the wheelchair. This concept can be used for multiple applications, but this paper focuses the application to mobile and communication aid for handicapped patients suffering from quadriplegic and paraplegic diseases. The proposed system involves two stages first eye movement detection and second, sending of control signals to the powered wheelchair