MATLAB

是最基本的ldpc matlab程序，简单易学，可以经过改编成为ldpc基础(Is the most basic ldpc matlab program)

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)

对离散时间信号进行傅里叶变换，得到傅里叶变换后的图样(Discrete-time signal pattern of the Fourier transform, the Fourier-transformed)

Space–time block coding is a technique used in wireless communications to transmit multiple copies of a data stream across a number of antennas and to exploit the various received versions of the data to improve the reliability of data-transfer. The fact that the transmitted signal must traverse a potentially difficult environment with scattering, reflection, refraction and so on and may then be further corrupted by thermal noise in the receiver means that some of the received copies of the data will be better than others. This redundancy results in a higher chance of being able to use one or more of the received copies to correctly decode the received signal. In fact, space–time coding combines all the copies of the received signal in an optimal way to extract as much information from each of them as possible.

英国matlab图像处理教学，中值滤波，均值滤波等等。(uk matlab image processing teaching, median filter,average filter and so on)

说明：  matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理(matlab compressed file, based on the time-frequency analysis of the ISAR echo processing course, based on the time-frequency analysis of multi-component FM signal processing edition)

内含大量关于优化问题的函数，如线性优化，整数规划，非线性规划(Contains a large number of optimization functions, such as linear optimization, integer programming, nonlinear programming)

一种新的mUSIC方法，非常好用( spatial smoothing MUSIC, very good!)

realize uwb-ppm in AWGN ,draw conclusion of per and design. a module in the context. and make a simulation at last indeed and we made it in matlab.

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. )