MATLABorderBasedOXr

particle swarm optimization

matlab模糊k-means聚类算法源码，很实用，略微改造即可使用(matlab fuzzy k-means clustering algorithm source code, very practical, you can use a little renovation)

齿轮动力学基础建模；微分方程；龙格库塔求解(Foundation Modeling of Gear Dynamics)

小m序列生成程序，可以生成32比特长度的小m序列并具有相对好的自相关特性(m sequence generate)

this octave exercise you will rst implement the k-means and GMM (Gaussian Mixture Model) clustering algorithms. Then you will create a BOW (Bag of Words) representation of sample images and use it to recognize object classes in these images

matlab 信号处理（清华大学出版社）一书第10章源代码(Matlab Signal Processing (Tsinghua University Press) Chapter 10 Source Code)

对于扩散反应方程的格子boltzmann仿真实验 我们要达到解决反应项的问题(Diffusion-reaction equation for the lattice boltzmann simulation experiment we want to solve the problem of response)

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

this is for orthonormal ridgelets implemtation

第二版数字信号处理实验指导书的实验的程序(Digital signal processing second edition of the experimental procedure)