Codes-of-BSA-and-CSO

SLAM中地图的实现程序，MATLAB 开发的，二维地图(Implementation of SLAM in the map program, MATLAB developed two-dimensional map)

example 2 of nonlinear control

清华matlab图像处理大作业，其中人脸检测部分没有采用rgb而是采用hsv模型替代(Tsinghua matlab image processing large operation, which does not use face detection part rgb hsv model instead of using alternative)

this is about matlab and its applications.

本代码对OFDM中载波频偏对系统误码率的影响进行了全面的仿真和比较，对加深对OFDM载波同步技术的理解很有帮助(The code in OFDM carrier frequency offset the impact of the system bit error rate of a comprehensive simulation and comparison to deepen the understanding of OFDM carrier synchronization helpful)

EBPSK调制解调系统，包括调制解调，抽样判决和积分判决(EBPSK Modem System)

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.)

随书光盘DYNAMIC SIMULATION OF ELECTRIC MACHINERY (ＣＤＲＯＭ　ＦＯＲ　DYNAMIC SIMULATION OF ELECTRIC MACHINERY )

matlab basic on fir,matlab basic on fir

This is an essential guide for power grad students