ex8_PPC

BFGS的matlab算法，大家可以自己看一下(methods of BFGS in matlab )

说明：  这是一个利用GM(1,1)进行预测的matlab程序，是我在数模竞赛的时候写的，希望有用(This is a use of GM (1,1) to predict the matlab procedure is that I die in a few competitions when written in the hope that useful)

说明：  双包层光纤的本征值求解. 两个边界的本征值方程连解。 (eigenfunction of bouble clading fiber )

对一副M*N大小的图像重复使用截频为D0的高斯低通滤波器进行滤波。假设K为滤波次数。并从理论上说明当K足够大时的滤波结果及产生原因(Right an M* N size of the image is repeated using the cutoff frequency for the D0 of a Gaussian low-pass filter for filtering. Assuming K is filtering times. And filtering results when K is large enough and theoretically causes)

benchmarks several versions of code for generating Compound Poisson random variables

硬件工程师必读攻略，提供了如何通过仿真有效提高数模混合设计性的有效建议(Hardware engineers must-read Raiders, provides a simulation of how to effectively improve the digital-analog hybrid design of effective proposals)

flat line control refister

循环阈值进行图像分割的源代码，是阈值分割的一种(Cycle threshold for image segmentation source code, is a thresholding)

Calcul de la transformée Wigner-Ville

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.)