rgb2hsi

Frame interpolation, frame rate up-conversion (FRUC), motion estimation, motion-compensated frame interpolation (MCFI), motion-compensated temporal frame interpolation (MCTFI), predictive search, true-motion, video processing

对H矩阵进行高斯消元，另外附加了高斯消元的论文(The H matrix using the Gauss elimination, an additional Gauss elimination of papers)

complete simulink model of inverted wedge control

说明：  列举MATLAB的100个源程序，可供各个层次的人员学习.(MATLAB lists 100 of the source for all levels of learning.)

只要认真看， 一天就可以掌握DFT的原理，大家看看哦(As long as a day, you can master the principle of the DFT, we look at)

这本Matlab编程是Stephen J. Chapman的经典作品，本上独特的强调自上而下的编程方法，而且在全书中皆有提醒和注意常犯的错误(This is Stephen J. Chapman Matlab programming classics, this emphasis on the unique top-down programming, but also in the book have the sound alerts and attention to common mistakes)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

模糊自适应控制，能够很好地跟踪控制，控制效果好，精度高，误差小。(Fuzzy adaptive control, tracking control can be a good control effect, high precision, small error.)

分数阶洛伦兹系统的matlab仿真源代码(The Fractional Lorenz system matlab simulation program)

非线性控制 Matlab编译(nonlinear control Matlab Compiler)