s7-PLC2PC

通信基本仿真,适合初学者学习的代码,包括了调制,分析等等:使用IIR filter的经典模拟滤波器（巴特沃斯Butterworth,切比雪夫Chebyshev）,Bartlett周期图谱，加窗Bartlett周期图谱，基带波形仿真，IIR的贝塞尔滤波器Bessel Filter，二进制对称信道Binary Symmetric Channel仿真，比特序列，Remez滤波，BPSK复合基带信号仿真，载波生成器，椭圆滤波器Elliptical Filter，FFT,FSK调制及解调，高斯噪声Gaussian仿真，直方图，理想AM，线性PLL，BP混淆器，理想MPSK，正交振幅调变（QAM，Quadrature Amplitude Modulation），正交相移键控(QPSK)，Rayleigh Noise瑞利噪声，Yule-Walker Psd功率谱密度函数。(Butterworth Chebyshev)

四方公司CSC300E远动机的程序，里面包括104、101、cdt、disa等规约的代码，要保密！(CSC300EA FOR RTU)

vc++开发的socket通信类（含客户端和服务端）(socket communication(include client and server))

OPC Client和OPC Server的工具和一些帮助，(OPC Client and OPC Server tools and some help)

本程序通过分析OFDM信号的循环平稳特性，利用循环谱对OFDM信道进行估计。(This procedure by analyzing the OFDM signal is cyclostationary properties, the use of cyclic spectrum of the OFDM channel estimation.)

采用加权网络中节点强度和权重都是幂率分布的模型，GPS和INS组合导航程序，做视觉测量的上位机代码。( Using weighted model nodes in the network strength and weight are power law distribution, GPS and INS navigation program, Do Vision Measurement PC code.)

采用滤波器组，将盲分离与声源定位结合在一起。滤波器组中分别进行子带处理，并且在每个子带中进行声源定位，最后综合所有子带估计的方向得到多个声源的方位信息，同时将声源信息作为ICA分析的约束条件，可以在色噪声及多得到更好的盲分离效果。其优势在于用滤波器组进行多次的估计声源方向，再加以合适的权值均衡后即可得到更优的估计。(The use of filters will be blind source separation and sound localization together. Filter group were sub-band treatment, and in each sub-band in Sound Source Localization, and finally all the sub-band is estimated to be more than the direction of sound source location information, as well as sound source information as ICA analysis of the binding conditions, colored noise can be better and many of the blind source separation effect. Its advantage lies in a number of filter banks with estimated sound source direction, coupled with an appropriate balance weights can be obtained after the better estimate.)

TMS320C6000 Programmer s Guide，详细的介绍了C6000编程方面的内容(TMS320C6000 Programmer s Guide)

中继系统中DF和AF两种不同中继方式下性能的比较，对于学习中继的人很好！(Comparison of DF and AF are two different relay mode performance in the relay system for the study of relay good! )

encoding binary data using non return to zero