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本文先介绍了整个系统的硬件电路设计，而后用VHDL硬件描述语言完成了系统控制程序的编写，并对系统进行了程序仿真及调试验证。本文特别详细的讨论了系统程序的编写，因为他关系到整个系统的功能实现，也是本设计的重点所在。设计中选用Protel 99se作为电路图编辑软件，选用Max+plusⅡ作为仿真环境。(This article first describes the overall system hardware design, then use the VHDL hardware description language, the system control program to complete the preparation, and system simulation and debugging of program verification. This particular system is discussed in detail the preparation process, because he related to the functions of the entire system to achieve, is the focus of this design. Design selected Protel 99se as circuit editing software, use Max+ plus Ⅱ as a simulation environment.)

说明：  S变换是较新的时频分析工具，甩在低频段有较宽的的时间窗，以获得较高的频率分辨率；而在高频段时间窗窄，以获得较高的时间分辨率。这里给出了ST和GST（广义S变换）的函数。(S transform is a relatively new time-frequency analysis tool, left in the low frequency band has a wide time window in order to obtain higher frequency resolution and in high-frequency narrow time window in order to obtain higher temporal resolution. Here are given ST and GST (generalized S transform) function.)

基于matlab仿真的power point内容，关于matlab的基本知识及仿真编程内容(Matlab simulation of the power point based on the content of the basic knowledge about matlab and simulation programming content)

说明：  这是MATLAB常用命令全集，有很详细的语法格式和实例(This is commonly used MATLAB command Works, had a very detailed syntax and examples)

腐蚀算法在边缘识别中的应用，具有较好的边缘识别能力。(edge corrosion identification algorithm in the application is on the brink of better recognition ability.)

MATLAB入门教程,从基础知识开始介绍的一个好文档。非常适合用matlab进行可视化编程。(MATLAB Tutorial, start from the basics of a good presentation document. Very suitable for visualization using matlab programming.)

channel estimation using awgn

math function code of learning methods

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)

Simulation of Spatial Multiplexing system using 16-QAM with MLSE equalizer.