contaminacion123

调制识别是非协作通信中的关键技术之一，在电子对抗、软件无线电等领域 应用十分广泛。该过程介于信号检测与解调之间，由于对传输信号没有过多的先 验信息以及在接收端有很多未知的参数，例如：信号功率，载波频率和相位偏移， 时间信息等，导致对调制方式的盲识别是一项很困难的任务。此外，实际中存在 多径衰落、频率选择性和时变信道等问题，使得这项任务变得更具有挑战性。 (The modulation recognition is one of the key technologies of the non-cooperative communication, such as electronic countermeasures and software defination radio, therefore it is such a significant discipline and orientation in the research of communication field. Obviously, without enough knowledge in transmitter and verified parameters about receivers, for example signal power, carrier frequency and phase offsets and so force, it is hard to get the modulation of blind identification. What is more, for the sake of the multipath fading, frequency-selective and time-varying channels in the real scenarios the task is even harder. )

simulation sous matlab/simulink d un correcteur d etat

对三种雷达信号调制类型的识别，包括单载频 线性调频和相位编码，并做时频分析(The identification of three kinds of radar signal modulation, including single carrier linear frequency modulation and phase encoding, and time-frequency analysis)

说明：  For use with MATLAB Simulink and Power System Blockset

This is a matlab project for the atm protection by using the concept of shoulder surfing which is now very important for the security of the atm

无线通信系统仿真，程序块很分明，包含MIMO、OFDM、空时编码，有很多子函数，可以借鉴(The wireless communication system simulation, block very clear, including MIMO, OFDM, space-time coding, there are many sub-functions, we can draw)

灰色预测模型在Matlab的语言编程(基于GM（1，1）模型)自己编的，很简单。就是为了当时处理数据方便。只是预测下一个数据，如果想得到更多的预测数据，可以在添加。(Gray prediction model in the Matlab programming language (based on GM (1,1) model) own, and very simple. At that time, in order to deal with data that is convenient. Only the next prediction data, if the prediction would like to receive more data, you can add.)

小世界网络的matlab实现,源代码。希望对大家有用。(MAtlab real sw.)

模拟退火算法 用matlab实现 有注释(Simulated annealing algorithm to achieve annotated with matlab)

matlab程序，中心差分法。。。。。。。。。。。。。。。。。(matlab program, central difference method. . . . . . . . . . . . . . . . .)