wave propagation

天线组阵中基于循环相关的BPSK信号合成方法研究(Antenna array study group cycle related BPSK signal synthesis method based on)

对原始信号进行小波包分解，小波函数及分解尺度均可自调(The original signal is decomposed by wavelet packet, and the wavelet function and decomposition scale can be adjusted automatically)

四路信号的多路复用研究及仿真实现，通过时隙的分配观察复用前后的波形图。(Four channel signal multiplexing research and simulation implementation, through the slot allocation to observe the waveform before and after multiplexing)

采用加权网络中节点强度和权重都是幂率分布的模型，双向PCS控制仿真，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。( Using weighted model nodes in the network strength and weight are power law distribution, Two-way PCS control simulation, PV modules contain, MPPT module, BOOST module, inverter module.)

西门子S7300、S7400plc和组态王通讯常用的几种通讯链路(Siemens S7300, S7400plc and King several common communication link communications)

说明：  在单径瑞利信道中，设计一种时分的导引辅助的信道估计方法，用Simulink和m语言进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，并与理论误码率曲线进行对比(In the single path Rayleigh channel, a time-division guidance aided channel estimation method is designed. The simulation is carried out with Simulink and M language. The BER performance of BPSK is measured, and the relationship curve between bit signal-to-noise ratio and BER is drawn, and compared with the theoretical BER curve)

OFDM同步算法的仿真matlab，用于LTE系统的OFDM技术，获得时域同步有很多算法，该文件提供了部分matlab的代码(OFDM synchronization algorithm simulation matlab, for the LTE system OFDM technology, access to time-domain synchronization, there are many algorithms, the document provides part of the matlab code)

MIMO systems with efficient sum rate analysis

完整经典的MIMO-OFDM仿真（matlab） 包括模块：create_channel.m， BitLoad.m，ComputeSNR.m，chow_algo.m， EnergyTableInit.m，campello_algo.m，ResolvetheLastBit.m，modulate.m，precode.m，ifft_cp_tx_blk.m，hannel.m， fft_cp_rx_blk.m，shape.m(Integrity of the classical MIMO-OFDM simulation (matlab), including modules: create_channel.m, BitLoad.m, ComputeSNR.m, chow_algo.m, EnergyTableInit.m, campello_algo.m, ResolvetheLastBit.m, modulate.m, precode.m, ifft_cp_tx_blk . m, hannel.m, fft_cp_rx_blk.m, shape.m)

Matlab实现多智能体一致性问题，可运行(Realization of Multi-Agent Consistency by MATLAB)