Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Wenyun Gao"'
Autor:
Xiaolin Feng, Sirui Tian, Stanley Ebhohimhen Abhadiomhen, Zhiyong Xu, Xiangjun Shen, Jing Wang, Xinming Zhang, Wenyun Gao, Hong Zhang, Chao Wang
Publikováno v:
Remote Sensing, Vol 15, Iss 9, p 2318 (2023)
The low-rank models have gained remarkable performance in the field of remote sensing image denoising. Nonetheless, the existing low-rank-based methods view residues as noise and simply discard them. This causes denoised results to lose many importan
Externí odkaz:
https://doaj.org/article/80f7c05e3a65453190c83b6064eea9f4
Publikováno v:
IEEE Access, Vol 7, Pp 63992-64004 (2019)
In this paper, neural networks (NNs)-based adaptive backstepping control problem is investigated for uncertain high-order stochastic nonlinear time-delay systems in nonstrict-feedback form. The control design problems appeared in our considered syste
Externí odkaz:
https://doaj.org/article/84190318b23b4056b366ae01bbf322e1
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
The low-rank representation (LRR) method has recently gained enormous popularity due to its robust approach in solving the subspace segmentation problem, particularly those concerning corrupted data. In this paper, the recursive sample scaling low-ra
Externí odkaz:
https://doaj.org/article/1b6010b3ba414392b17ffe3b8a940c98
Publikováno v:
Sensors, Vol 20, Iss 5, p 1533 (2020)
Although unsupervised representation learning (RL) can tackle the performance deterioration caused by limited labeled data in synthetic aperture radar (SAR) object classification, the neglected discriminative detailed information and the ignored dist
Externí odkaz:
https://doaj.org/article/af44b33caa164420b3b0ec22aaea27f9
Publikováno v:
Sensors
Volume 20
Issue 5
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5, p 1533 (2020)
Volume 20
Issue 5
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5, p 1533 (2020)
Although unsupervised representation learning (RL) can tackle the performance deterioration caused by limited labeled data in synthetic aperture radar (SAR) object classification, the neglected discriminative detailed information and the ignored dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd1bb9188a98814396dd1af97f9ed03c
Publikováno v:
IEICE Transactions on Communications. :2087-2098
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93bea66c000a3885d4c80983fd1caf8a
https://doi.org/10.1587/transcom.2016ebp3006
https://doi.org/10.1587/transcom.2016ebp3006
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811032288
This paper considers transmit multi-beamforming for colocated uniform linear array (ULA). First, the colocated ULA emitting sum of independent orthonormal baseband waveforms by each element is briefly introduced, and its transmit beampattern expresse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a6e11d69756ab7296d6ba3e4e59a5a0
https://doi.org/10.1007/978-981-10-3229-5_18
https://doi.org/10.1007/978-981-10-3229-5_18
Publikováno v:
Journal of Electronics (China). 30:138-144
The theoretical aspects of the precise velocity determination of Low Earth Orbit (LEO) satellites’ onboard Global Navigation Satellite Systems (GNSS) receivers are derived. It shows that the receiver’s Phase Lock Loop (PLL) is required to feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13489a8f414fe3f652b464ddc06d5640
https://doi.org/10.1007/s11767-013-2148-9
https://doi.org/10.1007/s11767-013-2148-9
Autor:
Haisheng Xu, Wenyun Gao
Publikováno v:
WCSP
In this paper we focus on waveform coefficient matrix (WCEM) design to perform matched beampattern design with lower sidelobe level for generalized MIMO configurations. First, the relationship between transmit waveforms and beam-pattern, and the limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::402f0bb4eca5183a2e28567e9c2f6b25
https://doi.org/10.1109/wcsp.2016.7752475
https://doi.org/10.1109/wcsp.2016.7752475
Publikováno v:
VTC Spring
Taking advantage of cooperation, vehicle network navigation can be used for applications where conventional navigation techniques usually are not competent: collision avoidance or mitigation, lane change management or emergency breaking assistance sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be141f17061a333434fd957d41927655
https://doi.org/10.1109/vtcspring.2016.7504256
https://doi.org/10.1109/vtcspring.2016.7504256