Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Juexin Zhang"'
Autor:
Wei Liu, Tong Liu, Xinxin Si, Jiaxing Liang, Xia Yan, Juexin Zhang, Bing Pang, Wenmin Luo, Junhong Liu, Huazhe Yang, Peng Shi
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 284, Iss , Pp 116939- (2024)
Air pollution, particularly fine particulate matter and gaseous pollutants including NO2 and NOx, presents significant public health challenges. While the harmful effects of these pollutants are well-documented, the molecular mechanisms underlying th
Externí odkaz:
https://doaj.org/article/b83b001b57d6451baaf8685cc6499c3d
Publikováno v:
Asia Pacific Journal of Tourism Research; 2023, Vol. 28 Issue 7, p745-762, 19p
Publikováno v:
IEEE Signal Processing Letters. 27:565-569
For target detection in Gaussian noise with unknown covariance matrix, usually sufficient training data are needed to form a nonsingular estimate of the noise covariance matrix. However sufficient training data could not be satisfied in practice. Aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e6ffbcfa92d3a07efcfc61afbc17cda
https://doi.org/10.1109/lsp.2020.2982768
https://doi.org/10.1109/lsp.2020.2982768
Publikováno v:
2021 IEEE 4th International Conference on Electronics Technology (ICET).
In this paper, a modified a priori SNR estimation method used in spectral subtraction is presented to address the speech enhancement problem. To better track the speech change speed, an adaptive smoothing factor changing with respect to the frame ene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e40b8e4a4daf3dabbaf7ea1d7d57116
https://doi.org/10.1109/icet51757.2021.9451018
https://doi.org/10.1109/icet51757.2021.9451018
Publikováno v:
ICCAIS
For target detection in unknown noise, sufficient secondary data are needed to form a nonsingular estimate of the noise covariance matrix (NCM). However the secondary data size is usually small in practice. Aiming to deal with the cases of limited se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52479c9e7585499ca78592a8086c06d
https://doi.org/10.1109/iccais46528.2019.9074692
https://doi.org/10.1109/iccais46528.2019.9074692
Publikováno v:
2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).
Distributed targets detection in Gaussian noise is studied. Since the noise power is possible to change from cell to cell due to the heterogeneity of the surveillance area, the noise in the test/training data is assumed to have the same structure of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2622638307b563adea834dc76992103
https://doi.org/10.1109/icspcc46631.2019.8960766
https://doi.org/10.1109/icspcc46631.2019.8960766