全能电子地图下载器1.9.5完善版

Python编写的SVM算法，SVM算法的实现，适合直接使用，开放源代码，Supported Vector Machine。(Python code SVM algorithm，SVM algorithm realizition，easy to use，open source，Supported Vector Machine。)

自己编写的matlab归一化处理程序。网上有很多相关程序，但是要么非常复杂，要么就是功能不符合自己的要求，所以就自己编写了一个。资源是matlab的.m文件，可以实现对多维数组的每一列进行单独的归一化处理，归一化的结果就是每一列的数据均落在了0—1之间。网上有的程序是对整体进行归一化处理，那样还是避免不了大数吞小数的现象，所以必须进行单独列的归一化处理。程序其实很简单，供大家参考学习使用。

一些关于的数学的介绍，没事的时候看看还是很有意思的

关于频偏估计算法的仿真，里面写的非常详细，算法的仿真过程,关于OFDM系统里频偏估计的算法

基于matlab的车牌号识别系统，程序保证可运行，详细的注释，包含标准字符模板库。

改进模拟退火算法求解TSP问题也就是常说的旅行商问题

KNN分类MatLAB源代码（附介绍）MatlAB源代码+论文

混合动力车辆整车仿真模型，通过simulink搭建完成。内含驾驶员模型、控制策略模型、发动机模型、电机模型、变速箱模型、车辆动力学模型

该文件里包含中国省市县的行政地图，是GIS格式的!

站里这方面资源不多，特别是种子区域生长方面的很少，上传一个算一个吧rightnumleftnuIm percent2()Ivaluerightnumipercent2(rvalue)pm= lvalue/‖P‖,pma= rvalue/‖P‖‖Pwindows xpMATLAB (R2008aOtsa.RlenI=ll, Rlen2=60, percent1=55%c, percent270%b. Rlenl=ll, Rlen2=80, percent1=50%, percent2=94%c.Rlen1-1l, Rlen2-100 percent1-65%. percent2-80%d. Rlen1-1l, Rlen2-=80, percent1=60%. percent2-83%2cent 1percent2Percentppercent 13C1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhtlp://www.cnki.net[J]2007,29(6):854-857[J]26(2):93-962010,45(7):76-80[JI.1963:1l5-12005,26(11):[J],2005,17(1):1-3Research on the improved algorithm and application ofseed region growth method and its sail image extrationYAN Shen-hai, HUANG Xian-tong, LIU Yang(School of Mathematics Computer Science, Gannan Normal University, Ganzhou 341000, Jiangxi, ChinaAbstract: Seeded region growing is a common method of image segmentation. Its performance depends largelyon the seleclion of seed points and growth rules. In order Lo extract snail images with such methods more effectively.The article analyzes the basic idea of the seeded region growing method(SRG) and presents an improved seededregion growing method (ISRG) which is used to extract the snail images. In ISRG, novel similarities rules and anew dynamic threshold method are adopted. For the complex and various habitat of snail, ISRG selects the region growing seed points manually. It is demonstrated by experimental results that ISRG can achieve better snailimage extraction results under the complicated real-world sceneKey words: seeded region growing (SRG; image extraction; dynamic threshold; snail(E D:X, JC1994-2012ChinaAcademicJournalElectronicPublishingHouse.Allrightsreservedhtlp://www.cnki.net