labview图像处理基础

【实例简介】模拟通信系统中，由模拟信源产生的携带信息的消息经过传感器转换成电信号，模拟基带信号在经过调制将低通频谱搬移到载波频率上适应信道，最终解调还原成电信号；在数字传输系统中，数字信号对高频载波进行调制，变为频带信号，通过信道传输，在接收端解调后恢复成数字信号。本文应用了幅度调制以及键控法产生调制与解调信号。

吉林大学陈虹教授上课的课件，模型预测控制课程的课件，详细介绍了模型预测控制的由来和应用，可以结合陈虹教授的书籍看。

附件中包含了GuiBuilder，SetupFontCvt等工具包，亲测可用。具体可参考博文http://blog.csdn.net/armwind/article/details/78441556

该书是随机微分方程类图书，主要用于入门级不确定系统问题（偏微分系统）

程序非常详细，里面有很多注释，下点功夫是能够看懂的，非常好的作为并联机构工作空间研究的材料

步进电机驱动芯片DRV8711的控制程序，包含SPI的初始化配置，DRV8711的寄存器配置。

【实例简介】为了将窄带波束形成扩展至宽带，可以使用频域LCMV波束形成器。

直流电机驱动电路原理图，经本人调试已经通过，可行的电路原理图

TortoiseGit 简称 tgit, 中文名海龟Git. 海龟Git只支持神器 Windows 系统, 有一个前辈海龟SVN, TortoiseSVN和TortoiseGit都是非常优秀的开源的版本库客户端.。分为32位版与64位版.并且支持各种语言,包括简体中文(Chinese, simplified; zh_CN)。

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