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说明：  产生伪随机序列的方法，C语言编写，调试通过。(Generate pseudo-random sequence, C languages, debugging through.)

根据2FSK调制器与解调器的组成原理，设计出整个2FSK传输系统的实现方案与电路(Based on composition theory 2FSK modulator and demodulator, the entire design implementation and circuit transmission system 2FSK)

code to calculate the determinant of symbolic matrix

正交匹配追踪法实现1-D信号压缩传感，测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(Orthogonal Matching Pursuit)

IEEE14节点潮流计算程序，可以很好地计算14节点标准系统，收敛性好。(IEEE14 node flow calculation program, 14 compute nodes can be a good standard system, good convergence.)

MATLAB希尔伯特Hilbert变换求包络谱 源程序代码。(MATLAB Hilbert Hilbert transforms envelope spectrum source code.)

程序mtlab中的代码-地震波反应谱与时程波相互转换(Interconversion between seismic response spectrum and time-history wave)

说明：  节点重要度计算方法源代码 详细介绍了算法的应用(The application of the algorithm is introduced in detail in the source code)

EMD的程序要用到matlab的时频工具箱 matlab的工具箱的安装步骤： 1.解压下载的文件包，将tft/mfile复制到matlab的toolbox文件夹下 2.建立搜索路径，matlab->file->Set Path->Add Folder ->选择mfile文件夹复制到matlab的toolbox的路径->save->close 3.测试是否建立搜索路径成功，在matlab命令窗口打入：which fmsin 返回的结果是你放mfile的正确路径说明建立搜索路径成功。此时就完成了安装工具包的工作。(EMD program to use when the frequency of matlab toolbox matlab toolbox installation steps: Unzip the downloaded file package, copy tft/mfile to the toolbox matlab file folder 2 established the search path, matlab-> file-> Set Path-> Add Folder -> Select mfile folder to the toolbox matlab path-> save-> close 3 test whether to establish a successful search path in matlab command window enter: which fmsin The result returned is the correct path you put mfile instructions to establish a successful search path. This time to complete the installation kit work.)

灰色动态预测源代码预测水资源。灰色动态模型群模型 是改进的灰色预测模型，可以克服不稳定信息带来的 不良影响利用不同时段数据建立不同的灰色 GM(1,1)模型来构造灰色预测模型 群，分别对未来时刻的各项预测值进行统计计算，并将统计平均值作为预测值， 进一步提高了预测的精度和预测结果的可靠度。(The gray dynamical prediction prediction source of water. Grey dynamic model group model is an improved gray prediction model can overcome the adverse effects of instability caused by the use of information to create different data at different times of gray GM (1,1) model to construct the gray prediction model group, respectively, each time in the future term prediction values ​ ​ of statistical calculations, and the statistical average as a predicted value, to further improve the accuracy and reliability of the prediction results of the prediction.)