Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Xuqi Zhu"'
Autor:
Bernard X. W. Liew, David Rügamer, Qichang Mei, Zainab Altai, Xuqi Zhu, Xiaojun Zhai, Nelson Cortes
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Alterations in joint contact forces (JCFs) are thought to be important mechanisms for the onset and progression of many musculoskeletal and orthopaedic pain disorders. Computational approaches to JCFs assessment represent the only non-invasive means
Externí odkaz:
https://doaj.org/article/cbad7015b2b84340a78c5ebe0efb3418
Autor:
Xuqi Zhu, Issam Boukhennoufa, Bernard Liew, Cong Gao, Wangyang Yu, Klaus D. McDonald-Maier, Xiaojun Zhai
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 653 (2023)
Gait analysis plays an important role in the fields of healthcare and sports sciences. Conventional gait analysis relies on costly equipment such as optical motion capture cameras and wearable sensors, some of which require trained assessors for data
Externí odkaz:
https://doaj.org/article/c66dfd29dce746feafa98dc39a8fdf09
Publikováno v:
Sensors, Vol 12, Iss 10, Pp 13034-13057 (2012)
Many practical compressible signals like image signals or the networked data in wireless sensor networks have non-uniform support distribution in their sparse representation domain. Utilizing this prior information, a novel compressed sensing (CS) sc
Externí odkaz:
https://doaj.org/article/a20085f5c2ab48e3a28291762df50dcf
Publikováno v:
Sensors, Vol 9, Iss 6, Pp 4901-4917 (2009)
Considering the fact that sensors are energy-limited and the wireless channel conditions in wireless sensor networks, there is an urgent need for a low-complexity coding method with high compression ratio and noise-resisted features. This paper revie
Externí odkaz:
https://doaj.org/article/141a366b241e401f8ac6571b03c9c272
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 8 (2012)
With the booming of video devices ranging from low-power visual sensors to mobile phones, the video sequences captured by these simple devices must be compressed easily and reconstructed by relatively more powerful servers. In such scenarios, distrib
Externí odkaz:
https://doaj.org/article/6da832c2a0d8415da4b3b921101724f3
Publikováno v:
2022 27th International Conference on Automation and Computing (ICAC).
Autor:
Yu Liu1 liuy@bupt.edu.cn, Xuqi Zhu1 safiml@gmail.com, Lin Zhang1 zhanglin@bupt.edu.cn, Sung Ho Cho2 dragon@casp.hanyang.ac.kr
Publikováno v:
Sensors (14248220). 2012, Vol. 12 Issue 10, p13034-13057. 24p. 1 Black and White Photograph, 3 Diagrams, 13 Graphs.
Publikováno v:
Sensors (14248220). 2009, Vol. 9 Issue 6, p4901-4917. 17p. 7 Diagrams, 3 Graphs.
Publikováno v:
The Journal of China Universities of Posts and Telecommunications. 19:123-128
Distributed compressed sensing (DCS) is an emerging research field which exploits both intra-signal and inter-signal correlations. This paper focuses on the recovery of the sparse signals which can be modeled as joint sparsity model (JSM) 2 with diff
Noise-resilient distributed compressed video sensing using side-information-based belief propagation
Publikováno v:
IC-NIDC
With the booming of energy-limited video devices ranging from visual sensors to camera cell phones, distributed compressed video sensing (DCVS) has developed as one of the efficient solutions that guarantee low complexity video encoding as well as ac