jbeam

电力电子技术与Matlab仿真,很经典的书籍啊，推荐！(Power Electronics Technology And Matlab Simulation)

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]

Control laboratory. Lab Course

基于MFC编写的界面，用VC与matlab混编实现马拉特小波分解，有文档注释，适合初学者( MFC-based interface prepared by VC and matlab mixed to achieve Marat wavelet decomposition, documentation notes, suitable for beginners)

说明：  研究分岔软件,最全最强大的非线性系统动态分岔与混沌分析软件(Research bifurcation software, the most powerful dynamic bifurcation and chaos analysis software for Nonlinear Systems)

主要内容(signal_analyzer.rar)如下： test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。 (Main Content (signal_analyzer.rar) as follows: test1.txt the first time as t, 0.001s for the step the second as the input signal the third as the system output signal. signal_analyzer.m first test1.txt the data read into the workspace, and then FFT, the frequency of the two signals, the output amplitude for input attenuation (db), the output of the input phase difference.)

lte code fore simulation with matlab

k-l变换在matlab下的源代码，非常实用。(K-L transformation in matlab， which is so easy to apply to many situations.)

[mimi,i]=min(abs(imag(disp1)-imag(disp2))) legend( LHS of dispersion relation , RHS of dispersion equation ) xlabel( u,cl ) figure(1) clc uppercuts = input( Enter number of intersection points desired: ) [g,h] = ginput(uppercuts) w = sqrt(V.^2-u.^2) s = sprintf( Constants: ) disp(s) for p = 1:uppercuts s = sprintf( u( d d) = 0.10f ,L-1,p,u(p)) disp(s) s = sprintf( w( d d) = 0.10f ,L-1,p,w(p)) disp(s)

Lagrange插值多项式求线性方程组,数值分析考试用(Lagrange polynomial interpolation of linear equations, numerical analysis examinations)