A1_1

由西安电子可以大学雷英杰老师编写的第一本关于遗传算法matlab工具箱的专著，使用的是英国谢菲尔德大学的版本工具箱，很有参考价值，需要的快下载。(From Xidian University, LEI Ying-jie teachers can be prepared in the first book on genetic algorithm matlab toolbox monographs, using a version of the University of Sheffield toolbox, a good reference value, the need for faster download.)

关于主元分析的简单的小程序。适用于初学者。(Simple program about PCA. Suitable for beginners.)

说明：  iPhone真机调试及如何上传到Apple Application Store平台。(iPhone-device debugging and how to upload to the Apple Application Store platform.)

说明：  先对图像均衡化 增强对比度 加噪声 然后分别进行空域和频域滤波(First, the contrast enhanced image equalization plus noise and then separate airspace and frequency domain filtering)

读取地震数据并画图显示，其中可以判断是工作站格式还是微机格式(Read seismic data and drawing display, which can be judged workstation format or computer format)

calculate impedance matrix Makarov book

Due to an increase in demand for and questions about direct disk access for Micrososft platforms, and due to the fact that Microsoft has no API for direct disk access, I am releasing this library much earlier than I intended at that start. I am still working on this code. (Due to an increase in demand for and questio ns about direct disk access for Micrososft plat forms, and due to the fact that Microsoft has no API for d Direct disk access, I am releasing this library much earlier than I i ntended at that start. I am still working on this code.)

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.

my first PMSM drive model based on DTC, by using stator resistance Rs to measure the flux. a very simple model

sigma-delta DAC simulink model