LEACH_11_6

The state space model is nonlinear and is input to the function along with the current measurement. The function performs the extended Kalman filter update and returns the estimated next state and error covariance

本程序实现星光导航中定姿算法的最小二乘算法，基于星敏感器观测星光信息，得到飞行器姿态(Program starlight navigation, attitude determination algorithm least squares algorithm, based star sensor observations Starlight information, Spacecraft Attitude)

说明：  matlab 数字图像处理命令大全，运用matlab进行处理图像信息(digital image processing matlab command Guinness, the use of the image information processing matlab)

说明：  这是一个小的应用程序，主要是MATLAB的应用(this is a little chengxu can help you )

信号提取是信号处理的一个重要技术，如何评价提取信号的性能，相关系数就是一个很好的评价指标！(signal from the signal processing is an important technology, how to assess the performance of signal extraction, the correlation coefficient is a good evaluation index!)

3 dimensin grafik simulator

说明：  《MATLAB与控制系统仿真实践》 源程序 数据(MATLAB and Control System Based Practice source data)

分别用三种不同的差分近似公式（前向差分、后项差分和中心差分）来技术函数的近似值(Respectively with three different difference approximation formula (forward difference, backward difference and central difference) approximation to the technical function)

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.)

调用程序可对信号进行EMD分解，再进行奇异值分解降噪(The calling program can decompose the signal by EMD, then the singular value decomposition and denoising 2D empirical wavelet program. The calling subroutine can perform the empirical wavelet transform on the image.)