exercise1

说明：  利用matlab进行图像的重建和修复，利用福利也计算和拉普拉斯变化得到的.(Use of matlab for image reconstruction and restoration, use of welfare also changes the calculation and Laplace received.)

MATLAB CODE FOR PYTHON

用matlab实现DF MIMO双跳系统模型的容量仿真，并实现了蒙特卡罗仿真，对研究DF、MIMO有很好的参考价值。(Using matlab to achieve DF MIMO capacity of dual-hop system model simulation, and implemented Monte Carlo simulation, the study of DF, MIMO have a good reference value.)

结合双线性变换法数字巴特沃斯高通IIR滤波器。能起到检波作用(Bilinear transformation method combined with digital high-pass Butterworth IIR filter. Can play a role in detection)

可以对脑电信号进行预处理，并且可以建立脑网络(EEG signal processing)

说明：  随机时滞微分方程的时间演化，概率密度及相图(phase diagram of stochastic delay differential equation)

该程序实现FIR滤波器，是数字信号处理的重要内容。(FIR filter, digital signal processing is an important element.)

响应面法matlaB程序，大家可以下载。(RMS code)

User Manual for STABLE 5.1(This manual gives information about the STABLE library, which computes basic quantities for univariate stable distributions: densities, cumulative distribution functions, quantiles, and simulation. Statistical routines are given for fitting stable distributions to data and assessing the fit. Utility routines give information about the program and perform related calculations. Quick spline approximations of the basic functions are provided. Densities, cumulative distribution functions and simulation for discrete/quantized stable distributions are described. The multivariate module gives functions to compute bivariate stable densities, simulate stable random vectors, and fit bivariate stable data. In the radially symmetric case, the amplitude densities, cumulative distribution functions, quantiles are computed for dimension up to 100. The signal filtering module includes functions to compute non-linear filters for signals with heavy tailed noise. Specifically, a novel stable fi)

基于PCA的图像融合算法，用matlab实现(Image Fusion based on PCA ，Completed by matlab)