LPP

本人的呕心力作：角速度匹配传递对准matlab程序！绝对没有问题，先运行1，再运行2！(Nausea my works: angular velocity matching transfer alignment procedures matlab! Absolutely no problem to run 1, run 2!)

经典的MUSIC算法，使用MAtlab编程实现(Classic MUSIC algorithm)

FSK调制解调MATLAB源代码FSK，很不错，值得看看(FSK modulation and demodulation MATLAB source code FSK, very good, worth a look)

There are different m files for different filter to use. perwit.m:=uses window Wx=[1 0 -1 1 0 -1 1 0 -1]/3 and Wy=Wx and then convolves this window with the image. sobel.m:=uses window W=[1 0 -1 2 0 -2 1 0 -1]/4 lablacian.m=uses window W=[0 1 0 1 -4 1 0 1 0] convolve.m=convolves window and image

惯性导航解算，得出飞行器的经度纬度高度，陀螺仪和加速度计的值(Inertial Navigation Solution, the longitude, latitude, altitude, gyroscope and accelerometer of the aircraft are obtained.)

matlab 最优化算法 matlab 最优化算法matlab 最优化算法 matlab 最优化算法(matlab zui you hua suan f a)

cuk电力matlab 仿真，已经调试通过了，谢谢(cuk power matlab simulation, debugging has been passed, thank you)

1、顺序后退法特征选择算法 2、SFFS 特征选择算法 3、ISD算法 4、LLR算法 5、CZD算法(1, the order backward method of feature selection algorithm 2, SFFS feature selection algorithm 3, ISD algorithm 4, LLR algorithm 5, CZD algorithm)

说明：  二分法是很重要的，利用二分法求解函数得近似值(Dichotomy is very important. It can be used to get approximate value of function)

Motion Tracking =============== This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentially numbered images available. After entering the path and file types the tracker will begin processing. Once the data window appears the algorithm begins building a background model and attempts to track objects. By clicking on any of the four subwindows you can investigate the background representation (a Mixture of Gaussians) of any pixel. The two windows that then appear display the mixture once as a two-dimensional scatter plot (ignoring the blue colour component), and once as a one-dimensional evolution of the red colour component only. These plots make the internal processing visible and should help determining suitable parameters to be set in mixture_parameters.m.