nlos_5.3.2.3-1

浅水波方程的源代码，是基于matlab开发的很好(shallow water equation,based on matlab ,ti is very good)

从声波测井波形资料中求取各个模式波（非频散波）的慢度（速度），并绘制STC图(extract the slowness(velocity) of mode waves(no-dispersion wave) from acoustic logging data.and plot STC map.)

Distribution System Reconfiguration

基于遗传算法的道路图象分割,分割结果非常理想,可适用于各种环境.(The road based on genetic algorithms image segmentation, segmentation results are highly satisfactory and applicable to various environments.)

说明：  本资料为MATLAB GUI设计的简单例程，包括两个源文件（.m和.fig)。其具体的功能为图片的提取及二值化处理。(This information is designed for simple MATLAB GUI routines, including the two source files (. M and. Fig). The specific function of the extraction and image binarization.)

matlab画三维图的几个函数的用法和一些简单的案例(the matlab draw three-dimensional map usage of several functions and some simple cases)

稀疏信号的生成及cs模型稀疏阵（fft）和生成阵(PHI)的生成，及波形展示(Sparse signal generation and cs model sparse array (fft) and generate array (PHI) generation, and waveform display)

峰值电流模式Buck变换器分岔图，以输入电压为变量。(Bifurcation diagram of peak current mode Buck converter, using input voltage as variable.)

信号分为同相信号和正交信号，分别进行正交采样，降低采样率，搬移频带，完成采样。(Signal into in-phase signal and the quadrature signal, respectively, quadrature sampling, the sampling rate decrease, moving band, complete sampling.)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )