基于Verilog的BPSK

一个Android小工具，用来记录wifi信号强度，同时记录磁场等传感器测得的数据，主要用来为室内定位建立位置指纹，点击”关闭RSS数据采集“，这时数据将会存入本地目录"CIPS-DataCollect"中。比如"dataRddi_at_2" 存储的是第二个位置上的RSS数据。"dataBssid.txt"存储的是扫描到的WiFi热点的各种信息，及其顺序。

Windows环境下使用Ffmpeg+Qt Creator开发的简单播放器：（1）声音输出使用PortAudio；（2）视频显示使用SDL2；（3）具备音视频同步；（4）使用QT开发，便于Debug运行查看Ffmpeg各个结构体的变量是如何变化。

一段城市道路的车载激光点云las数据，包含路面、路灯、树木、建筑物、车辆等地物，可用作点云数据处理的实验数据。

硬件:STM32F407ZGT6+ESP8266软件:机智云通用DEMO,XCOM

德国莱默尔对中控制程序软件。程序备份，拷贝，在线编辑，在线调试，波形查看。原厂软件

双边滤波的逐段线性近似，参考文献Fast Bilateral Filteringfor the Display of High-Dynamic-Range Images

运用稀疏保持投影进行特征提取（已应用于人脸识别领域）

arm-linux-gcc 4.4.3版本安装步骤将压缩包arm-linux-gcc.tar.gz解压到arm-linux-gcc文件夹tar zcvf arm-linux-gcc.tar.gz arm-linux-gcc将创建目录mkdir /home/linux/arm-linux-gcc将解压后的文件拷贝到安装目录cp –r arm-linux-gcc/* /home/linux/arm-linux-gcc设置/home/linux/arm-linux-gcc权限chmod -R 777 /home/linux/arm-linux-gcc配置环境变量vim /root

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

visio图标库，【Visio】徽标标志