对[1]的matlab实现，有所改动，在计算新的点是否属于平面时用点到平面的距离替换MSE，亲测精度不变计算时间大大减少。 referenece [1]Junhao Xiao, Jianhua Zhang and Jianwei Zhang，'Fast Plane Detection for SLAM from Noisy Range imAGEs in Both Structured and Unstructured Environments',IEEE International Conference on Mechatronics & Automation,2011:1768-1773
上传时间： 2016-06-01
上传用户：李先生的大香港
CCS样式选择符，初学者，设计，DW，网页制作，大一作业 部分预览： <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <title>CSS样式选择符</title> <style type="text/css"> body { background-image:url(imAGEs/%E8%83%8C%E6%99%AF%E5%9B%BE%E7%89%87.jpg); background-repeat:repeat; } .class1 { text-align:center; font-weight:bolder; } .class2 { font-family:"仿宋"; text-indent:8em; } .class3 { font-size:18px; font-family:"宋体"; text-indent:4em; } #id1 { font-family:Zombie, Verdana, "Comic Sans MS"; font-style:oblique; font-size:64px; } #id2 { font-family:"黑体"; font-size:36px; } #id3 { color:#F69; font-weight:bolder; text-shadow:#FCC; } </style> </head> <body> <table width="780" height="1555" border="0" cellspacing="0" align="center" bgcolor="#FFFFFF"> <tr height="30"> <td align="center"><img src="imAGEs/顶部图片.jpg" /></td> </tr>
上传时间： 2017-12-07
上传用户：圈圈Ace
Your Cisco Networking Academy Course Booklet is designed as a study resource you can easily read, high- light, and review on the go, wherever the Internet is not available or practical: ■ The text is extracted directly, word-for-word, from the online course so you can highlight important points and take notes in the “Your Chapter Notes” section. ■ Headings with the exact page correlations provide a quick reference to the online course for your class- room discussions and exam preparation. ■ An icon system directs you to the online curriculum to take full advantage of the imAGEs, labs, Packet Tracer activities, and dynamic Flash-based activities embedded within the Networking Academy online course interface.
标签： Switching Wireless LAN and
上传时间： 2020-05-27
上传用户：shancjb
Second-generation telecommunication systems, such as the Global System for Mobile Communications (GSM), enabled voice traffic to go wireless: the number of mobile phones exceeds the number of landline phones and the mobile phone penetration is approaching 100% in several markets. The data-handling capabilities of second-generation systems are limited, however, and third-generation systems are needed to provide the high bit-rate services that enable high-quality imAGEs and video to be transmitted and received, and to provide access to the Web with higher data rates.
标签： Evolution WCDMA UMTS HSPA LTE for and
上传时间： 2020-06-01
上传用户：shancjb
Wireless networking is undergoing a transformation from what has been primarily a medium for supporting voice traffic between telephones, into what is increasingly becoming a medium for supporting traffic among a variety of digital devices transmitting media of many types (voice, data, imAGEs, video. etc.) Wireline networking underwent a similar transformation in the 1990s, which led to an enormous build-up in the capacity of such networks, primarily through the addition of new optical fiber, switches and other infrastructure.
标签： Multiusers Detection Wireless Networks
上传时间： 2020-06-01
上传用户：shancjb
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—imAGEs, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
标签： Embedded_Deep_Learning Algorithms
上传时间： 2020-06-10
上传用户：shancjb
The Segmentation of Ferrography imAGEs A Brief Survey
标签： Segmentation Ferrography imAGEs Survey Brief The of
上传时间： 2020-11-02
上传用户：
