matlab

说明：  这个程序模拟了最大相位系统和最小相位系统，并分析其频谱(the simulation phase of the largest systems and minimum phase systems, and analyzing its spectrum)

不精确拉格朗日法，求解矩阵补全的凸优化问题，可以用该方法实现背景建模(Imprecise Lagrangian method for solving matrix completion convex optimization problem, you can use this method, background modeling)

遗传算法Matlab程序。可添加到工具箱的。(Matlab genetic algorithm procedure. Can add to the toolbox.)

说明：  《MATLAB 7.0编程基础基础》源程序，适合于初学者练习(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners)

利用OptiSystem仿真软件对光纤色散进行仿真和分析。通过对初始时的脉冲波形、经过20km非线性色散光纤或的脉冲波形，理解光信号在传输过程中的色散问题。(Use OptiSystem simulation software simulation and analysis of optical fiber dispersion.Through the initial pulse waveform, after 20 km nonlinear dispersion fiber, or pulse waveform, understand the dispersion problem in the process of optical signals in the transmission.)

说明：  Signal system and Matlab courses in the series of high-level programming and engineering applications

说明：  对400幅灰度图像用分块PCA的方法进行压缩，进行通信时只用传输主元和特征向量。其中，pcaxiefangcha.m用于图像压缩，imresume.m用于图像恢复和部分图像的显示，chaweight.m用于绘制特征值比重-主元个数关系图，crdraw.m用于绘制压缩比-主元个数关系图，psnrdraw.m用于绘制总误差PSNR-主元个数关系图，psnrlocation.m用于绘制单幅图像误差PSNR分布图。(On the 400 block with a gray image compression method of PCA, to communicate only the main elements and characteristics of transfer vectors. Which, pcaxiefangcha.m for image compression, imresume.m parts of the image for image restoration and display, chaweight.m characteristic value for the draw weight- the main element number diagram, crdraw.m used to draw the compression ratio- the primary element number diagram, psnrdraw.m used to draw the total number of errors PSNR-principal component diagram, psnrlocation.m PSNR used to draw a single image error distribution.)

缺失数据的填补函数，用来估计缺失的数据。 single and mutiple imputation(Solves approximation to one of several pdes to interpolate and extrapolate holes in an array )

converting sin wave to digital bits (binary) ADC

file for generating inter-arrival and service time in a banking system generation of uniformly distributed random numbers