regress-137

异步socket通信C++，对socket基础协议进行封装处理(Asynchronous socket communication C++, on the basis of protocol encapsulation process socket)

explanation of underwater ofdm acostic model

实现Ethercat现场通讯的主从站代码实例(An Example of Master-slave Station Code for Ethercat Field Communication)

利用matlab simulink产生两路模拟语音信号，经过pcm编码、时分复用、DPSK调制经过同一个信道单向传输到对应的接收端。常用的三个模块 simulink、通信模块、信号处理模块。包括课程设计报告。(Using matlab simulink produce two analog voice signals through the pcm encoding, time division multiplexing, DPSK modulation over the same one-way transmission channel to a corresponding receiver. The three modules used simulink, communication module, a signal processing module. Including curriculum design report.)

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.)

viterbi译码算法的vhdl程序，有注释和各个模块的详细说明。是一篇完整的硕士论文，有源码(viterbi decoding algorithm of VHDL procedures, has comments and a detailed description of each module. Is a complete master)

在STM32上实现单线多个DS18B20实验，通过串口监测8个DS18B20测量的温度，芯片信号等(Several DS18B20 experiments on single line are implemented on STM32, and the temperature of 8 DS18B20 measurements, chip signal, etc. are monitored through serial port)

说明：  前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然比检测(likelihood ratio test， LRT) 的软判决与采用“与” 准则的硬判决的性能， 结果表明采用软判决的协作感知性能更优(Previously proposed spectrum sensing methods mainly include matched filter detection, energy detection, cyclostationary feature detection and multi-resolution spectrum sensing. These methods are all single node sensing methods. However, in the case of shadow and deep fading, the sensing results of single node are not reliable, so, It is necessary to fuse the sensing results of multiple nodes to improve the detection reliability, i.e. cooperative sensing technology. In the literature, "or" criterion is used to fuse the CR sensing results. In the literature, a cooperative spectrum sensing algorithm based on D-S evidence theory is proposed. Although the performance of the algorithm is better than "or" criterion or "and" criterion, a large amount of historical information needs to be stored, The computational complexity of the algorithm is also very high. In the literature, the performance of the soft decision based on the likelihood ratio test)

接受分集中采用选择式合并的函数，输出误码率和信噪比曲线(Acceptance of centralized using selective merge function, the output is bit error rate and SNR curve)

说明：  控制TMS320-F28335 LED灯闪烁(TMS320-F28335 LED test)