mimo_ofdm_slm

在光纤通讯仿真中，产生QPSK，16QAM，64QAM信号，并添加激光相位噪声和自发辐射噪声(In optical fiber communication simulation, QPSK, 16QAM, 64QAM signals are generated, and laser phase noise and spontaneous radiation noise are added.)

mini2440上qtopia应用程序开发步骤(arm-qtopia版本)(mini2440 steps on the qtopia application development (arm-qtopia version))

说明：  SOCKET调试工具与压力测试小工具源代码 VS2008下测试通过，非常好用！(SOCKET debugging tools and stress testing tool for source code for VS2008 under a small test, very easy to use!)

现代通信原理与技术课件，讲明通信原理，调制解调以及通信的过程。(Modern communication theory and technology courseware, made ​ ​ it clear that the process of communication theory, modulation and demodulation and communication)

VB写的一个简单的服务器与客户端程序，可以进行简单的本机通讯。经修改可以用于双机通讯。(VB to write a simple server and client, can be simple local communication. Modified can be used for two-machine communication.)

uwb仿真，上传到上来给大家一个参考，希望能有帮助(UWB simulation, upload onto a reference to the U.S., hoping to have help)

均匀线阵方向图， MIMO雷达信号建模、波束形成和目标检测(Uniform linear array pattern MIMO radar signal modeling, beamforming and target detection)

void swap1(int x, int y) //值传递 void swap2(int *px, int *py) //指针传递 void swap3(int &x, int &y) //引用传递 的使用(void swap1(int x, int y) //值传递 void swap2(int*px, int*py) //指针传递 void swap3(int &x, int &y) //引用传递 的使用)

说明：  bpsk和4pam调制系统误码率和误符号率仿真，以及与理论值比较。(Simulation of BER and BER in 4pam modulation system)

说明：  自适应滤波器作为一种现代滤波器，在通信领域有着广泛的应用. 阐述了LMS以及RLS自适应滤波器的相关原理及其在通信系统去噪中的应用，并用MATLAB对自适应滤波器的去噪结果进行了相应的仿真，仿真结果直观地体现了自适应滤波器的去噪性能。 本文对自适应滤波器系统进行剖析，基于QPSK调制后的信号，并对该信号加工成为不同信噪比如SNR=0Db、SNR=5dB、SNR=10dB的信号，进行了两种分别基于LMS自适应滤波和RLS自适应滤波的操作。并对添加了有色高频噪声等加噪处理来模拟通信过程中的实际应用环境，测试所设计的低通滤波器对于噪声信号的滤波性能，并对结果进行分析总结。(As a modern filter, adaptive filter has a wide range of applications in the field of communication. This paper expounds the relevant principles of LMS and RLS adaptive filter and their applications in the de-noising of communication system, and simulates the de-noising results of adaptive filter with MATLAB. The simulation results directly reflect the de-noising performance of adaptive filter. In this paper, the adaptive filter system is analyzed, based on the QPSK modulated signal, and the signal is processed into different signal-to-noise, such as SNR = 0dB, SNR = 5dB, SNR = 10dB signal. Two kinds of operation are carried out based on LMS adaptive filtering and RLS adaptive filtering respectively. In order to simulate the practical application environment in the communication process, we add colored high-frequency noise to test the filtering performance of the designed low-pass filter for noise signal, and analyze and summarize the results.)