Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Cédric Richard"'
Autor:
Ljubiša Stanković, Jonatan Lerga, Danilo Mandic, Miloš Brajović, Cédric Richard, Miloš Daković
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1407 (2021)
The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided. Vertex–frequency localization-based appro
Externí odkaz:
https://doaj.org/article/ddc5564f99174a8eaf8bbc0defbacb66
Autor:
Aneline Dolet, Rita Ammanouil, Virginie Petrilli, Cédric Richard, Piero Tortoli, Didier Vray, François Varray
Publikováno v:
Sensors, Vol 21, Iss 10, p 3366 (2021)
Multispectral photoacoustic imaging is a powerful noninvasive medical imaging technique that provides access to functional information. In this study, a set of methods is proposed and validated, with experimental multispectral photoacoustic images us
Externí odkaz:
https://doaj.org/article/35ada7b36e0c45b6ad2c404045a928d2
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 8 (2011)
This paper considers the localization problem in mobile sensor networks. Such a problem is a challenging task, especially when measurements exchanged between sensors may contain outliers, that is, data not matching the observation model. This paper p
Externí odkaz:
https://doaj.org/article/73ccb581d4754fc0b9fd0b1af5fa2486
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2010 (2010)
Wireless sensor networks rely on sensor devices deployed in an environment to support sensing and monitoring, including temperature, humidity, motion, and acoustic. Here, we propose a new approach to model physical phenomena and track their evolution
Externí odkaz:
https://doaj.org/article/370507827f864388abc7ece19a41674b
Publikováno v:
IEEE Signal Processing Magazine. 40:61-74
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-13
Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images~(HSI) generated by the acquisition devices. This issue is usually addressed by solving an ill-posed inverse problem. While investigating pr
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Distributed Acoustic Sensing (DAS) is a novel vibration sensing technology that can be employed to detect vehicles and to analyse traffic flows using existing telecommunication cables. DAS therefore has great potential in future "smart city" developm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::515fe55ea1de078e4f1b413e0440696a
https://hal.archives-ouvertes.fr/hal-03352810/file/vandenende2021deep.pdf
https://hal.archives-ouvertes.fr/hal-03352810/file/vandenende2021deep.pdf