dsp 28335的实验报告 带滤波的AD采样

源码于2020年1月2日开始编写，耗时共计4天，代码完整，编辑可用，源码仅供学习，欢迎广大脚本爱好者踊跃下载，禁止用于任何非法的不正当的商业行为，违者一切责任自行承担。

LAPS协议的成帧.vhd

扩频通信 田日才 课件及习题答案，很难得的一个资料，网上几乎找不到的

通过GSM信息最强的基站及其信息强度来计算定位，其它制式的则使用WIFI热点及其信息强度来计算定位，能通过自动开启WIFI功能来定位。

制作的一个动态博客网站，代码中给出了详细的解释，此外操作步骤也可见我的个人博客http://blog.csdn.net/mind_programmonkey，里面有详解

开发一个柑橘识别系统,打开并展示图像，对图像中柑橘进行识别统计个数，并保留每一部所处理的图像,对自带的图片具有较好的识别效果，若自行携带照片识别，需自行调节其中参数。

基于ANSYS有限元分析的脉冲激光加热的建模与仿真命令流

序主框架采用单文档SDI，切分窗口技术，数据库采用ADO技术，开发环境是基于 vs2008 + SQL 2005。系统具有学生信息管理，学生成绩管理，课程信息管理等功能，并且能对记录信息进行添加、删除、查询、统计等功能。（数据库直接附加既可以）V2.5主要修正了 2.0版中查询模块的bug。

车牌识别的全部流程加报告和ppt，里面讲车牌的定位，车牌字符的分割和字符的识别全都弄好了，这是我们的大作业，所以还有很多不完善的地方

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