gaussprocess

LLL algorithm...............................

State spce code matlab simulink

这是一个用matlab写的关于数独的程序，对于喜爱数独的伙伴会很有帮助，程序已经测试过，没有问题，而且有注释。(This is for soduk,it will be helpful for people who like it.)

PURPOSE: EGARCHLIKELIHOOD(P,Q) likelihood function. Helper function to EGARCH

This is for the programming in matlab to analyze using finite element method. The finite element method can be applied to problems in various fields of science and engineering.

To generate color histogram of a color image.

这是Thomas Schonhoff编写的信号检测预估计课本的对应的英文课件，对于学习这本书的学者有很大的帮助(This is Thomas Schonhoff textbooks written in signal detection to estimate the corresponding English courseware, scholars to study this book has a lot of help)

最大频率选择小波的实现的经典论文之一，非常有启发性(The realization of maximum frequency selective wavelets, one of the classic papers, very enlightening)

说明：  有限差分法数值模拟弹性波动方程，使用matlab编写的。(Finite difference method numerical simulation of elastic wave equation, using matlab prepared.)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)