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ORCIDPei Wang 0011
Person information
- affiliation (PhD 2012): Northwestern Polytechnical University, School of Astronautics, National Key Laboratory of Aerospace Flight Dynamics, Xi'an, China
Other persons with the same name
- Pei Wang — disambiguation page
- Pei Wang 0001 — University of Arkansas at Little Rock, Little Rock, AR, USA
- Pei Wang 0002
![[0000-0002-1066-0454]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1066-0454")
— Temple University, Phoenixville, PA, USA - Pei Wang 0003 — University of Electronic Science and Technology of China, School of Electronic Engineering, Chengdu, China
- Pei Wang 0004 — Henan University, School of Mathematics and Statistics, Kaifeng, China (and 2 more)
- Pei Wang 0005 — Guangdong University of Foreign Studies, School of Business, Guangzhou, China (and 1 more)
- Pei Wang 0006 — Yulin Normal University, Department of Guangxi Education, Key Laboratory of Complex System Optimization and Big Data Processing, China
- Pei Wang 0007 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA
- Pei Wang 0008 — Jiangsu University, Institute of Agricultural Engineering, Zhenjiang, China (and 1 more)
- Pei Wang 0009 — Beijing Normal University, China (and 1 more)
- Pei Wang 0010 — Wuhan University, School of Information Management, China
- Pei Wang 0012 — Chinese Academy of Science, Institute of Electronics, Department of Space Microwave Remote Sensing System, Beijing, China
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Journal Articles
- 2019
[j3]Pei Wang, Xue Dan, Yong Yang:
A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks. Int. J. Distributed Sens. Networks 15(3) (2019)- 2018
- [j2]Pei Wang, Hui Fu, Ke Zhang:
A pixel-level entropy-weighted image fusion algorithm based on bidimensional ensemble empirical mode decomposition. Int. J. Distributed Sens. Networks 14(12) (2018) - 2017
- [j1]Jingyu Wang, Ke Zhang, Pei Wang, Kurosh Madani, Christophe Sabourin:
Unsupervised Band Selection Using Block-Diagonal Sparsity for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(11): 2062-2066 (2017)
Conference and Workshop Papers
- 2017
- [c1]Jingyu Wang, Usman Fareed, Ke Zhang, Pei Wang:
Research on the Mission Critical Parameters Identification by using Kinematic Boundaries. ICINCO (1) 2017: 644-651
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