Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Mengfei Mu"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-15 (2023)
Abstract This paper presents a sequential Kalman asynchronous track fusion algorithm based on the effective sound velocity method proposed to deal with the problem of random asynchrony of multi-node measurement information in the distributed underwat
Externí odkaz:
https://doaj.org/article/1d72451ae39942b7b8bfbf60818e2d4a
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 476 (2024)
In this paper, we considered the real-time modeling of an underwater channel impulse response (CIR), exploiting the inherent structure and sparsity of such channels. Building on the recent development in the modeling of acoustic channels using a Kron
Externí odkaz:
https://doaj.org/article/0658d8ffee974ad9b422a5d02e6edff3
Autor:
Xingcai Liu, Qiuhong Tang, Huijuan Cui, Mengfei Mu, Dieter Gerten, Simon N Gosling, Yoshimitsu Masaki, Yusuke Satoh, Yoshihide Wada
Publikováno v:
Environmental Research Letters, Vol 12, Iss 2, p 025009 (2017)
Human impacts increasingly affect the global hydrological cycle and indeed dominate hydrological changes in some regions. Hydrologists have sought to identify the human-impact-induced hydrological variations via parameterizing anthropogenic water use
Externí odkaz:
https://doaj.org/article/ef975248aea047569325ec5b94c7a159
Publikováno v:
IETE Journal of Research. :1-17
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2022 5th International Conference on Information Communication and Signal Processing (ICICSP).
Abstract: This paper presents a modified sequential kalman asynchronous track fusion method based on the sound propagation time. The proposed method deals with the asynchronous issue, which is caused by different acoustic signal propagation times,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dade0add96207f4b383484627b9b1e2
https://doi.org/10.21203/rs.3.rs-2207162/v1
https://doi.org/10.21203/rs.3.rs-2207162/v1
Publikováno v:
Environmental Science & Technology. 54:3793-3802
Previous studies have estimated power plant cooling water consumption based on the long-term average cooling water consumption intensity (WI: water consumption per unit of electricity generation) at an annual scale. However, the impacts of the season
Publikováno v:
2021 4th International Conference on Information Communication and Signal Processing (ICICSP).