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说明：  基于MATLAB语言实现了BPSK、QPSK和QAM在数字通信中的误码率性能，并与理论性能进行了比较。实现了两个发射天线的分集，分析了分集提高误码率性能的原因和实质。(Based on MATLAB language, the BER performance of BPSK, QPSK and QAM in digital communication is realized and compared with the theoretical performance. The diversity of two transmit antennas is realized, and the reason and essence of diversity improving BER performance are analyzed.)

UWB接收机的同步估计算法 能有效实现接收信号的同步(UWB receiver synchronization estimation algorithm can effectively realize the synchronization of received signal)

实现20m双绞线有线通讯，一端控制另一端小灯亮暗，反过来，一端发送字符，另一端显示浮点数(Realize 20m twisted-pair cable communication, one end controls the light of the other end, conversely, one end sends characters, the other end shows floating-point numbers.)

数据通信,没什么很详细的,只是一个素材源玛(Data communication, not very detailed, just a material source ma)

说明：  使用Simulink(或m语言)仿真卷积编码，并用Viterbi译码的方法进行解码，其中的编码、译码全部是自己编写代码(m语言方式)，不是调用Simulink(或m语言)的已有编码、译码函数。并在加性白高斯噪声信道中，画出比特信噪比与误码率的关系曲线。(Simulink (or M language) is used to simulate convolutional coding, and Viterbi decoding method is used to decode, in which the coding and decoding are all written by themselves (M language mode), rather than calling the existing coding and decoding functions of Simulink (or M language). In the additive white Gaussian noise channel, the relationship curve between bit SNR and BER is drawn.)

一本介绍第四代移动通信LTE的英文书籍，详细介绍了从发送端到信道到接收端的原理及实现。(One introduces fourth-generation LTE mobile communication in English books, details from the sender to the receiver channel to the principles and implementation.)

说明：  截获接收机采用时频分析进行跳频通信的参数估计程序(Intercepting the parameter estimation procedure of the receiver for time-frequency analysis for frequency hopping communication)

VGA驱动及显示程序，用Verilog编写代码实现VGA的驱动和显示，并且提供了测试程序Testbench通过测试能得到正确的时序波形。(the source code for driving VGA and displaying the images,the testbench was offered.)

有关卷积编码的维特比算法,是硬判决的啊,希望大家(The Viterbi algorithm about convolutional coding, it is hard to judge, I hope you all)

说明：  常用的两种信道估计算法，基于matlab，可以正常运行(Channel estimation algorithm, based on MATLAB)