DemoForStud

锐化处理技术来加强图像的目标边界和图像细节，对图像进行梯度算子、拉普拉斯算子、Sobel算子设计，使图像的某些特征（如边缘、轮廓等）得以进一步的增强及突出(Sharpen the image processing techniques to enhance the objectives of the border and image detail, image gradient operator, Laplacian, Sobel operator design, some features of the image (such as edge, contour, etc.) can be further enhanced and prominent)

given a frame sequence from a fixed camera, detecting all the foreground objects : the detection of the foreground objects is obtained by the difference between the current frame and an image of the scene’s static background

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MATLAB基础与应用书籍，学好基础，掌握未来。(Foundation and Application of matlab)

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).

这是基于高斯模型的运动目标检测算法。采用空间是YUV。(This is based on the Gaussian model of moving target detection algorithm. The use of space is YUV.)

该程序主要是比较对信号分别进行希尔伯特变换HT和广义希尔伯特变换GHT所得到瞬时相位的比较，结果证明GHT较HT对信号有较好抗噪特性，同时瞬时相位也可以用来重构信号，但主要起了指示的作用。(We can get instantaneous phase of the signal by HT or GHT，and the results prove that GHT has better noiseproof feature,namely robustness than HT.In the meantime,we could restruct signal using the information of instantaneous phase,but it mainly has good directives roles.)

说明：  工具箱，适合matlab初学者实用。简单实用，基于matlab开发平台。(Matlab for beginners and practical. Simple and practical, based on matlab development platform.)

Matlab源码，主要采用时域有限差分(FDTD)法实现1D、2D的电磁仿真。(This directory contains MATLAB files for 1D simulations of electromagnetic fields. Included are wave propagation in free space, in dissipative media (sigma nonzero), and in dispersive media (debye medium).)

使用music算法对非圆信号进行参数估计 主要实现对极化信息和空域信息的估计(Use music algorithm to estimate the parameters of non-circular signal polarization main achievement of the estimated information and spatial information)