BPSK

直扩码分多址DS-CDMA是利用高速的WALSH正交码序列作为地址码，与多用户信息数据相乘得到信息数据的直接扩频信号，再经过BPSK调制后发送出去，经过AWGN无线信道的传输后，在接收端与本地产生的地址码进行相关检测，从中将地址码与本地码一致的用户数据选出，把不一致的用户数据删除。(DS-CDMA DS-CDMA is the use of high-speed WALSH orthogonal code sequences as address code, with multi-user information data has been multiplied by the direct spread spectrum data information signal, and then after a BPSK modulated sent through AWGN channel after transmission, at the receiving end with the locally generated address code associated Detect, which will address code with local codes consistent user data elected to delete user data inconsistencies.)

iec103 规约上位机源代码，喜欢的就下吧。(iec103 Statute of the host computer source code, like on the next bar.)

本程序为CDMA系统中基于MMSE的多用户检测技术，供有相关人士下载(This procedure for the CDMA system based on the MMSE multi-user detection techniques for those who have related downloads)

MIMO多天线收发 各种性能比较（BER曲线） 包括MMRC EGC SC Alamouti V-BLAST。信道为瑞利信道，有2种，相关和非相关。测试仿真结果 请运行文件名带plot的。(MIMO multi-antenna transceiver various performance comparison (BER curve), including MMRC EGC Ala SC mouti V-BLAST. Rayleigh channel to channel, two species, and correlated. Simulation results of tests requested documents were operating with the plot.)

GFSK调制通信系统误码率统计，非常有借鉴价值(GFSK modulation communication system bit error rate statistics, the very reference value)

二维CFAR处理程序，分采用矩形窗和十字窗(Two dimensional CFAR processing program, using rectangular windows and cross windows)

MIMO systems with efficient sum rate analysis

说明：  文件提供了通信中自适应波束形成的matlab程序，根据到达的来波方向，自适应的调节形成波束的主瓣方向，程序给出了自适应的过程和最后的波束图。(document provides communications adaptive beamforming of Matlab procedures, according to the arrival of wave direction, the regulation of adaptive beam forming the main valve direction, the procedure is the process of adaptive beamforming and the final map.)

该程序给出了LDPC编译码程序的经典算法，即BP算法，性能比较好(The program gives the classic algorithm LDPC decoding procedures, namely BP algorithm, the performance is better)

说明：  数字信号的调制识别，提取了信号的时域特征与频域特征。包含神经网络训练。(Modulation recognition of digital signal.The time-domain and frequency-domain features of the signal are extracted. Including neural network training.)