题名 | Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach |
作者 | |
发表日期 | 2020
|
DOI | |
发表期刊 | |
ISSN | 2373-7778
|
卷号 | 6页码:684-698 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
学校署名 | 其他
|
EI入藏号 | 20203809195018
|
EI主题词 | Parameter estimation
; Internet of things
; Bayesian networks
|
EI分类号 | Radio Systems and Equipment:716.3
; Data Communication, Equipment and Techniques:722.3
; Computer Software, Data Handling and Applications:723
; Combinatorial Mathematics, Includes Graph Theory, Set Theory:921.4
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9195031 |
引用统计 |
被引频次[WOS]:2
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/188060 |
专题 | 南方科技大学 工学院_电子与电气工程系 |
作者单位 | 1.College of Information Science and Electronic Engineering, Zhejiang University, 12377 Hangzhou China (e-mail: xiaqian30@zju.edu.cn) 2.College of Information Science and Electronic Engineering, Zhejiang University, 12377 Hangzhou China (e-mail: wangw@zju.edu.cn) 3.Electrical Engineering, Ajou University, 34919 Suwon Korea (the Republic of) (e-mail: sunnyran@ajou.ac.kr) 4.Electrical and Electronic Engineering, Southern University of Science and Technology, 255310 Shenzhen China (e-mail: gongy@sustc.edu.cn) 5.College of Information Science and Electronic Engineering, Zhejiang University, 12377 Hangzhou China (e-mail: ning_ming@zju.edu.cn) |
推荐引用方式 GB/T 7714 |
Xia,Qian,Wang,Wei,Ran,Rong,et al. Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach[J]. IEEE Transactions on Signal and Information Processing over Networks,2020,6:684-698.
|
APA |
Xia,Qian,Wang,Wei,Ran,Rong,Gong,Yi,&Zhang,Zhaoyang.(2020).Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach.IEEE Transactions on Signal and Information Processing over Networks,6,684-698.
|
MLA |
Xia,Qian,et al."Multi-Slot Distributed Measurement Selection: A Sparsity Learning Approach".IEEE Transactions on Signal and Information Processing over Networks 6(2020):684-698.
|
条目包含的文件 | 条目无相关文件。 |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论