suibui

svkernel函数为核函数 ,容易实现 , 参照核函数的公式编写代码就成(matlab)

利用人脸的灰度值的不同可以高效识别人脸区域以及定位的功能，以及可以识别非人脸(The use of human faces of different gray value can be efficient to identify human faces as well as the positioning function of the region, as well as to identify non-human face)

一个齿轮转子动力学的模型及临界转速求解的matlab代码。(dynamics analysis of a gear system.)

说明：  上传RBF源程序，希望能对大家学习有所帮助，并请提出宝贵的意见和建议！(upload source, in hopes of learning we can help, and requested the valuable advice and suggestions!)

一个DLA程序的源代码，运行的还可以，供大家参考学习。(A the DLA program' s source code, running for everyone to learn.)

该代码源于《matlab图像处理宝典》，其中包含部分图像处理的关键代码(The code from " matlab image processing book," which contains a key part of the image processing code)

说明：  雷达线性调频信号的模糊函数matlab代码，单脉冲及脉冲串(Linear FM radar signal ambiguity function matlab code, single pulse and pulse train)

result of alamouti code with 2 receiver and 2 transmiter,with matlab code in advanced comminucation,

gvf snake 邊緣檢測範例(包含範例圖)(1. Introduction and Installation Instructions ---------------------------------------------- Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The Matlab*.m files in this software distribution implement our GVF snake, the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake, and the distance snake. These programs were designed, written and tested by Chenyang Xu and Jerry Prince. To install this software, simply unzip the file into an empty directory, making sure to ask your unzipper program to restore the directory structure of the zipped files. In this documentation, we will assume that you have unzipped the files into C:GVF. 2. Documentation ---------------- We have included two research papers that describe GVF. You can find these in C:GVFpapers. Brief descriptions of the software modules can be found in this file below. For more detail, you should run Matlab, add the path C:GVFsnake, and type "help function-name". F)

首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼(First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally using integral projection technology to pinpoint the human eye)