MATLAB

EM算法在神经网络中的应用，可以用来进行视频数据分类。(In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets.)

这个程序是关于matlab中信号处理的，以及应用的相关程序(The function is very useful.It can solve different matlab functions)

径向基神经网络程序加上应用，一个在美国的台湾人写的(RBFNN procedures and application, one in the United States written by the people of Taiwan)

Matlab code for interconnect design

二维卡尔曼滤波，在X—Y平面上画出滤波后的值以及理想情况下的图像，通过比对，深入研究卡尔曼滤波的性质和意义(Second Kalman filter, the X-Y plane value and image ideally draw filtered through comparison, in-depth study of the nature and significance of the Kalman filter)

说明：  nakagami衰落下，各态历经信道容量、中断容量、反转容量仿真(Simulation of ergodic channel capacity, interrupt capacity and reverse capacity in Nakagami Fading)

用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）(Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the independent component (no noise))

基本蚁群算法，主要做的是最短路径，请大家修改后应用(Basic ant colony algorithm, the main job of the shortest path, let us apply the modified)

grails bookmark例子程序在2.0上的实现(grails bookmark sample in grails 2.0)

MATLAB程序 用于图像处理 实现区域成长，为.M 文件(MATLAB programs for image processing to achieve regional growth)