RMS

基于MATLAB的数字音频水印技术程序，一种数字音频水印(MATLAB-based digital audio watermarking technology program)

scalar quantization of image and communication over erassure channel and error removal

matlab 代码，主要用于抛光轨迹的优化，计算个点磨粒的经过次数(matlab code, mainly used for polishing the optimal trajectory, after calculating the number of abrasive points)

In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. (In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. )

Implements Minimum Search Tree using Kruskal Algorithm

通过均值聚类实现四类数据的分类，一直在用(means clustering )

实现格子boltzmann方法中D2Q9模型的简单算法(lattice boltzmann D2Q9 model)

对高斯序列x=exp((n-p)^2/q)时域和频域特性观察，观察p，q分别取不同值时对其特性的影响，观测泄露和混叠现象(When the time domain and frequency domain characteristics observed Gaussian sequence x = exp ((np) ^ 2/q), observed p, q, respectively, for different values on its characteristics, observed leakage and aliasing)

pca based face recognition

说明：  该课题为基于kmeans的聚类分割，输入一张彩色图像，可以选择需要分割成多少类，就会以不同颜色区分不同的块，带有GUI界面，操作丰富。(This topic is based on Clustering Segmentation of kmeans. Input a color image, you can choose how many categories you need to segment, and then different blocks will be distinguished with different colors, with GUI interface and rich operation.)