MATLAB-neural-network

在OFDM仿真模型的基础上用MATLAB语言编写出OFDM发送、信道及接收整个系统,在系统仿真正确的前提下,对循环前缀、信道估计等性能改善方法进行进一步仿真验证 (In OFDM simulation model based on the use of MATLAB language to send the OFDM, channel and receive the entire system, in the system under the premise of the correct simulation of the cyclic prefix, channel estimation methods for further performance improvement simulation)

Matlab编写的Jakes信道模型，接口参数定义见程序(Matlab prepared Jakes channel model, see the definition of interface parameters of procedures)

说明：  一个可以实现图像的高频提升MATLAB程序

说明：  几篇关于压缩感知方面的文章，都是大牛的作品，英文的，希望对研究这方面的同志有帮助(Several articles on compressed sensing aspects are the works of Daniel, the English, the comrades of research in this area)

matlab经典算法的程序-特殊绘图，figure operation(classical algorithm matlab procedures- special drawing, figure operation)

to reference a a dlg using Matlab code, this can realy help you.

非常好用的LDPC代码，利用了比特交织编码技术。(Articles and code is very nice, I diligently study was done.)

用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码(For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

这是一部分析非平稳信号的相关书籍，含有很多种分析方法，主要有时频分析方法和应用及相关例子(This is an analysis of non-stationary signals of books, containing a variety of analytical methods, main frequency analysis method and application examples sometimes)