ocr_Stroke

说明：  本实验主要内容为：学习使用MATLAB电力系统实验箱并进行仿真。(This experiment, says: learning to use MATLAB power system simulation experiment box and.)

PCA人脸识别 的源代码 在matlaB 里面实现的(PCA MatlAB FaceRec.m eigface Reconstruct.m calc xmean,sigma and its eigen decomposition)

NEW POWER GENERATION POOF SOUND REFILLING CODE

在HFSS中进行复杂的三维建模的Matlab程序(In the HFSS in the complex three-dimensional modeling of the Matlab program)

用盖世圆的方法进行信源数的估计，是自己查资料然后写的程序，并已经测试过，估计结果的准确率挺高的。(Estimate the number of signal sources with matchless way round)

此程序用提升法实现第二代小波变换用的是非整数阶小波变换,采用时域实现,步骤先列后行(procedure used to upgrade Method second generation wavelet transform the non-integer-order wavelet transform, time domain realized, first out go backward steps)

智能天线，自适应非盲算法LMS，探测制导LMS with white input.由于上传格式限制题目看仔细。后续还有上传，尽请期待。(Smart antennas, adaptive algorithm for non-blind LMS, probe-guided LMS with white input. As the title of carefully limit upload format. From there follow-up, please do not expect.)

图像边缘检测，并有gui界面的设计 有matlab程序生成exe的部分内容(detection of the image edge and establish the gui)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

Linear_system_2area modelling