BPSK_coding

给出了OFDM在卫星通信中的系统框图并 在Simulink中仿真实现，利用改进的CMA恒模算法进行盲均衡处理，来去除时变卫星信道对信号的影响,基于4阶累积量的方法 将OFDM信号与其他调制类型信号区分开来(OFDM is given in the satellite communication system block diagram and Simulation in Simulink using the modified constant modulus algorithm CMA for blind equalization, to remove the time-varying satellite channel on the signals, based on 4-order cumulant method OFDM signals and other types of signal modulation to distinguish)

DNP3通讯报文解析工具，由于查看理解DNP通讯报文(DNP3 Communications Message Parsing Tool, Due to Viewing and Understanding DNP Communications Messages)

LMS时域均衡算法,多径信道+AWGN信道，很好的抑制了多径干扰(This is a LMS equalizer and the channnel is Multi_path channel and AWGN channel, it gives Error convergence curve)

类似simulink的小程序，在网上找到的，希望对大家有用。。(Similar simulink small program, found on the Internet, we want to be useful. .)

针对MIMO-OFDM系统中期望最大化(EM)信道估计算法在高信噪比(SNR)下带来的误差地板(EF)现象,且OFDM符号的数据传输效率随发射天线数的增加而明显降低,提出一种改进的高效EM信道估计算法。该算法首先引入一种准确的等效信号模型并推导出一种修正的EM算法,改善了EM算法在高SNR下的性能 在多个OFDM间利用相位正交导频序列来提高数据传输效率,同时进行联合信道估计以提高估计性能。仿真实验验证了所提算法具有更高的信道估计性能和更高的数据传输效率。(For multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,the error floor(EF) phenomenon at high signal noise rate(SNR) was induced by the expectation maximum(EM) channel estimation algorithm.In addition,the data transmission efficiency was declined obviously with the increasing number of transmit antennas.According to these problems,an improved and efficient EM channel estimation algorithm was pro-posed.Firstly,an accurate and equivalent signal model was introduc...)

modbus library written in c sharp!!!!!

恒模算法(CMA)是实际中应用最广的一种盲均衡算法,这里主要时提出了改进的lc-cma算法的源程序代码()

应用MATLAB编程，LTE系统中上行链路SC-FDMA信号生成的程序(Application of MATLAB programming, LTE system uplink SC-FDMA signal generation process)

室内可见光通信中通过使用均衡技术来提高马元速率(Indoor visible light communication by using equalization techniques to improve the rate of Ma Yuan)

本程序是对低密度奇偶校验码的校验矩阵的源程序，相信会对研究ldpc码的人会很有帮助的(This procedure is a low-density parity check matrix of code source, I believe that research on LDPC codes will be very useful)