Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ming-Jian Chen"'
Autor:
Jie, Shi, Mi, Zhang, Ji-Li, Qiu, Zi-Wen, Wan, Ruo-Nan, Zhao, Yan-Hong, Xie, Ming-Jian, Chen, Jia-Yu, Zhao, Wei, Xiao, Shou-Dong, Liu
Publikováno v:
Huan jing ke xue= Huanjing kexue. 43(9)
As an important source of greenhouse gases, the changes in greenhouse gas concentrations of aquaculture ponds are not only the basis for accurate quantification of greenhouse gases emissions but are also important for identifying their influencing fa
Autor:
Ming-Jian Chen, Helen F.K. Chiu, Bao-Liang Zhong, Fang Fan, Xiao-Jiang Wang, Qin Xie, Xue-Peng Fan
Publikováno v:
Translational Psychiatry
Translational Psychiatry, Vol 10, Iss 1, Pp 1-11 (2020)
Translational Psychiatry, Vol 10, Iss 1, Pp 1-11 (2020)
Data are scarce regarding the comorbid mental disorders and their management among COVID-19 patients. This study described the clinical characteristics and management of COVID-19 patients treated in psychiatric inpatient settings due to comorbid firs
Publikováno v:
Journal of Navigation. 64:S91-S101
Signal-In-Space Error (SISE) is important for the system integrity of GNSS. Real-time monitoring SISE has been one of the effective solutions used for improving GNSS system-level integrity. As one of the typical solutions, the Galileo integrity conce
Publikováno v:
China Satellite Navigation Conference (CSNC) 2014 Proceedings: Volume III ISBN: 9783642547393
A method of zero-differenced multi-GNSS joint precise orbit determination of BeiDou satellites based on ambiguity fixing was present. The realization of ambiguity fixing was focused on. The real data was analyzed, and the results show that the three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91defdf0f33b9e3eb9f938d9c295574c
https://doi.org/10.1007/978-3-642-54740-9_16
https://doi.org/10.1007/978-3-642-54740-9_16
Autor:
Jing-Qing Luo, Ming-Jian Chen
Publikováno v:
2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control.
In this paper, a novel adaptive linearly constrained minimum variance (LCMV) beam former is proposed based on frequency response constraints. With frequency response constrained optimization criteria, the new constraint vector and thus the new weight