样本块重建inpainting算法

说明：  比较完整的OFDM的仿真模型和源码，有比较完整的设计思路，可供学习(relatively complete OFDM simulation model and source, a more complete design ideas for learning)

SVPWM详细的simulink仿真，可作为毕设参考资料，可用的仿真，内容做得较全面(SVPWM detailed simulink simulation can be used as complete reference design, simulation available, the content did a more comprehensive)

基于matlab的电力系统谐波抑制研究。对一座110kv变电站进行建模，并对谐波进行分析。介绍了利用无功补偿进行谐波抑制的措施。(Matlab-based Power System Harmonic Suppression. On a 110kv substation modeling, and harmonic analysis. Introduced the use of reactive compensation for harmonic suppression measures.)

案例算法，基于数量损失和品质衰减的生鲜农产品供应链协调。(Case algorithm, based on the number of losses and quality attenuation fresh agricultural products supply chain coordination.)

自学Matlab必备的60个小程序代码,若要实现其他功能可以自行改编，(Self-taught matlab 60 essential small program code, if you want to achieve other functions can be self-adapted,)

说明：  对气象数据进行MK检验分析，包括突变检验和趋势检验(MK Test and Analysis of Meteorological Data)

AM/PM信号的调制解调算法仿真MATLAB源码(PM signal modulation and demodulation algorithm simulation MATLAB source code)

example matlab code for resize matrix

与潘左击鼠标拖动，绘制一个右键拖动zoombox，并检视双击所有数据。这也保留任何现有的WindowButtonXFcn这个数字已，以及任何轴UIContextMenus。 我写了实时数据采集这一点，因为linkaxes套XLimMode至“手动“ -这意味着将不会自动调整轴的新数据。 panzoom（figureHandle，axesHandles） 添加到这个数字，只能到指定的坐标轴功能的处理。 panzoom（figureHandle，axesHandles，XLink的） panzoom（figureHandle，axesHandles，XLink的，雁联） 假设你有四个轴处理：1，2，3，4。你可以连接所有的X轴一起：XLink的= [1，2，3，4]，或者你可以对链接在一个单元格数组中：XLink的={[1，2][3，4]}。这同样适用于雁联。 XLink的或雁联也可以为空。(Pan with left click mouse drag, draw a zoombox with right click drag, and view all data with double-click. This also retains any existing WindowButtonXFcn the figure has, as well as any axes UIContextMenus. I wrote this for live data capture, as linkaxes sets XLimMode to "manual"- which means the axes wouldn t automatically resize for new data. panzoom(figureHandle, axesHandles) Adds the functionality to that figure, ONLY to the axes handles specified. panzoom(figureHandle, axesHandles, xLink) panzoom(figureHandle, axesHandles, xLink, yLink) Assuming you have four axes handles: 1, 2, 3, 4. You could link all of the x axes together: xLink = [1, 2, 3, 4], or you could link them in pairs in a cell array: xLink = {[1, 2], [3, 4]}. The same applies for yLink. xLink or yLink can also be empty.)

本上传资料为maatlab教程，可通过此教程学习matlab，涉及面广。(The upload information to maatlab tutorials, available through this tutorial to learn matlab, involving a wide range.)