ArModel

惯导工具箱，惯导仿真的重要工具，适用于惯导算法仿真。(INS Toolbox, an important tool for inertial navigation simulation.)

这是两个关于插值和拟合的5个程序，可以适用些不能直接套用公式的情况，可能对部分人有用。(These are two of the interpolation and fitting of the five program, you can not directly apply the formula for some circumstances, may be useful for some people.)

distributed generation inverter

使用MATLAB代码编写的聚类分析，可以完成多类数据的分类(using matlab complete class recognition)

Matlab code for shadow detection and removal colour image. Matlab code for shadow detection and removal colour image. Matlab code for shadow detection and removal colour image. Matlab code for shadow detection and removal colour image.

产生BPSK分析信号,可以设置基本S/N比等参数,并对信号画图显示.(Analysis generated BPSK signal, you can set the basic S/N than the other parameters, and signal drawing show.)

Bimodal emotion recognition

说明：  matlab命令大全，记住matlab命令，帮助大家更好的学习和掌握matlab(Guinness command matlab,matlab command remember to help you better grasp of learning and matlab)

Matlab环境下的基于平滑宽带信号的编程(Matlab environment based on the smooth programming of broadband signals)

GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper - in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.(GM_PHD_Filter Version 1.09, 13th December 2013 Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with: - some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/ - error_ellipse by AJ Johnson, taken from Matlab Central http://www.mathworks.com.au/matlabcentral/fileexchange/4705-errorellipse Algorithm by Ba-Ngu Vo & Wing-Kin Ma in: B.-N. Vo, W.-K. Ma, "The Gaussian Mixture Probability Hypothesis Density Filter", IEEE Transactions on Signal Processing, Vol 54, No. 11, November 2006, pp4091-4104 This is an implementation of a gaussian mixture probability hypothesis density filter (GM-PHD) for a simulated tracking problem. The problem specification is given in the above paper- in summary, two targets move through the environment, there is a lot of clutter on the measurement, and about halfway through a third target spawns off one of the two targets.)