exa011001

descripteur sift 3D

说明：  对图像进行哈弗曼编码的处理并对两种直方图的结果进行比对。(Ha Fuman the image processing and coding the results of the two histograms being compared.)

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.)

code ami No return zero whit five inputs

参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差. 为给出两者界限，找一检验统计量T，在H0成立下其分布已知.(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)

汽车理论的MATLAB源程序，谢谢大家支持，多多交流！(Car theory MATLAB source, thank you for the support of more exchanges!)

对波达方向进行估计，通过MUSIC算法估计波达方向，利用MATLAB进行仿真，找出DOA估计与快拍数的关系(DOA estimate DOA estimated by MUSIC algorithm using MATLAB simulation to identify the relationship between DOA estimation and the number of snapshots)

The Cross Bilateral filter can enhance the PSNR of multi focus images that is in image fuison. Bilateral filtering is a local, nonlinear and non- iterative technique which combines a classical low-pass filter with an edge stopping function that attenuates the filter kernel when the intensity difference between pixels is large. As both gray level similarities and geometric closeness of the neighboring pixels are considered, the weights of the filter depend not only on Mahalanobis distance but also on the distance in gray/color space. The advantage of the filter is that it smoothes the image while preserving edges using neighboring pixels. CBF considers both gray-level similarities and geometric closeness of neighboring pixels in image one to shape the filter kernel and filters the image two.

液压缸模型 用simulink建立，直线型液压缸 积分阀(cylinder model)

这个是leach算法的优化版本，对学习WSN有好处，而且是我毕业设计的课题。(This is the improved Leach protocol,which is quit usful in learning WSNs.)