Real-time computing, Computer network, Physical layer, Wireless network and Communication channel are his primary areas of study. His Real-time computing research is multidisciplinary, incorporating elements of Motion detection, Diversity scheme, Channel state information, Mobile computing and Sensor fusion. His Channel state information research incorporates elements of Baseband and Fading.
Kaishun Wu works mostly in the field of Physical layer, limiting it down to topics relating to Orthogonal frequency-division multiplexing and, in certain cases, Wireless lan. His Wireless network study contributes to a more complete understanding of Wireless. The study incorporates disciplines such as Transmission, Chip and IEEE 802.15 in addition to Communication channel.
His primary scientific interests are in Computer network, Wireless, Real-time computing, Communication channel and Wireless network. The concepts of his Computer network study are interwoven with issues in Throughput, Physical layer, Orthogonal frequency-division multiplexing and Transmission. His Throughput research focuses on Telecommunications link and how it connects with Cellular network.
His Wireless research is multidisciplinary, relying on both Base station, Overhead, Transmitter power output and Channel capacity. His Real-time computing study also includes
Kaishun Wu focuses on Computer network, Artificial intelligence, Human–computer interaction, Wireless and Communication channel. His Computer network research includes themes of Service quality and Physical layer. The various areas that he examines in his Human–computer interaction study include Wearable technology and Gesture.
His research in Wireless intersects with topics in Electronic engineering, Convolutional neural network and Transmitter power output. Kaishun Wu has researched Communication channel in several fields, including Wireless network, Heterogeneous network and Information transfer. Kaishun Wu interconnects Underwater acoustic positioning system, Real-time computing and Global Positioning System in the investigation of issues within Node.
Kaishun Wu mainly focuses on Computer network, Wireless, Transmission, Real-time computing and Communication channel. His specific area of interest is Computer network, where Kaishun Wu studies Routing. His work on Wireless network and Cognitive radio as part of his general Wireless study is frequently connected to Generative model, thereby bridging the divide between different branches of science.
Kaishun Wu has included themes like Underwater acoustic communication, Network performance, Scattering, Modulation and Key in his Transmission study. His study on Real-time computing is intertwined with other disciplines of science such as Process, Sample size determination and Seawater. In his work, Bit error rate is strongly intertwined with Noma, which is a subfield of Communication channel.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
WiFall: Device-Free Fall Detection by Wireless Networks
Yuxi Wang;Kaishun Wu;Lionel M. Ni.
IEEE Transactions on Mobile Computing (2017)
CSI-Based Indoor Localization
Kaishun Wu;Jiang Xiao;Youwen Yi;Dihu Chen.
IEEE Transactions on Parallel and Distributed Systems (2013)
We can hear you with Wi-Fi!
Guanhua Wang;Yongpan Zou;Zimu Zhou;Kaishun Wu.
acm/ieee international conference on mobile computing and networking (2014)
FILA: Fine-grained indoor localization
Kaishun Wu;Jiang Xiao;Youwen Yi;Min Gao.
international conference on computer communications (2012)
WiFall: Device-free fall detection by wireless networks
Chunmei Han;Kaishun Wu;Yuxi Wang;Lionel Ming-Shuan Ni.
international conference on computer communications (2014)
FIFS: Fine-Grained Indoor Fingerprinting System
Jiang Xiao;Kaishun Wu;Youwen Yi;Lionel M. Ni.
international conference on computer communications and networks (2012)
Pilot: Passive Device-Free Indoor Localization Using Channel State Information
Jiang Xiao;Kaishun Wu;Youwen Yi;Lu Wang.
international conference on distributed computing systems (2013)
From QoS to QoE: A Tutorial on Video Quality Assessment
Yanjiao Chen;Kaishun Wu;Qian Zhang.
IEEE Communications Surveys and Tutorials (2015)
FIMD: Fine-grained Device-free Motion Detection
Jiang Xiao;Kaishun Wu;Youwen Yi;Lu Wang.
international conference on parallel and distributed systems (2012)
Narrowband Internet of Things: Evolutions, Technologies, and Open Issues
Jun Xu;Junmei Yao;Lu Wang;Zhong Ming.
IEEE Internet of Things Journal (2018)
Profile was last updated on December 6th, 2021.
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