MIMO_SparseChannel

用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取(MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract)

matlab遗传算法工具箱 进化计算 遗传算法 基于遗传算法搜索的最优化方法(matlab genetic algorithm toolbox evolutionary computation genetic algorithm based on genetic algorithm optimization method)

获取导航电文，通过卷积地方法，十分有用，希望能够帮助大家！(Access to the navigation message, through the method of convolution and is very useful to help you!)

Three test programs provided. These programs just set the matrices to be diagonalized, then call the function repeatly. After each call it printout the transformed matrix, the diagonalizing matrix and the criterion and its decrease.

计算机控制系统5道大题作业，有详细求解过程及相应的matlab程序。(five task of Computer Control System with detail solution and conresponding to matlab programing)

遗传算法的matlab源代码。。可以应用于图像灰色处理及图形退化模型等诸多模型(Genetic algorithm matlab source code. . Grey can be applied to image processing and graphics degradation model and many other models)

水声信道仿真程序。用于水下声信道的仿真。(Underwater acoustic channel simulation program.Used in underwater acoustic channel simulation.)

matlab下可以直接使用的小程序 包括这种常用算法 对应书籍为《matlab宝典》(matlab can be directly used for small programs, including such popular books as the corresponding algorithm " matlab Collection" )

FMCW调频连续波雷达的测距测角，基于分段非线性权重值的Pso算法，模拟数据分析处理的过程。( FMCW frequency modulated continuous wave radar range and angular measurements, Based on piecewise nonlinear weight value Pso algorithm, Analog data analysis processing.)

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. (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. )