linear_mimo

本程序主要功能是idl调用matlab程序，大大增加了idl的图像/形处理功能，应用更广泛(This procedure is the main function of matlab to call idl procedures, has greatly increased the idl image/shape processing, the application of more extensive)

说明：  本程序实现已知序列绘制其及傅立叶变换的图(the program known sequence mapping and Fourier transform their plans. .)

基于禁忌搜索算法的配电网无功补偿优化规划的 禁忌搜索部分(Optimize the planning of reactive power compensation based on the tabu search algorithm with tabu search part)

WLan-IEEE802.11a modified with MIMO (Multiple transmitter and receiver)

sar图像去噪的几种新的方法，到达过程是的泊松过程，ML法能够很好的估计信号的信噪比。( Several new methods sar image denoising, Arrival process is a Poisson process, ML estimation method can be a good signal to noise ratio.)

使用matlab语言实现的时域有限差分算法(finite differentiate time domain)

GSM simulation in simulink. composd of encoder and decoder. but it is not completed

matlab的使用命令大全，可以在做matlab开发的时候给与很好的帮助(the use of matlab command Daquan, you can do matlab developed a good time to give help)

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. )

矩阵功能的演示 首先显示矩阵 所有数据按照MATLAB中的矩阵操作实例实现(Matrix function shows the first display all the data matrix in the matrix operation in accordance with examples of MATLAB Implementation)