Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Siavash Mollaebrahim"'
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 9:315-328
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7344d205869b443540408183ac44830a
https://doi.org/10.1109/tsipn.2023.3271148
https://doi.org/10.1109/tsipn.2023.3271148
Publikováno v:
IEEE Transactions on Signal Processing. 69:2056-2069
A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized fashion in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e71b9152a3f163837e62be898d4976b
https://doi.org/10.1109/tsp.2021.3066787
https://doi.org/10.1109/tsp.2021.3066787
Publikováno v:
IEEE Transactions on Signal Processing. 69:150-164
A number of inference problems with sensor networks involve projecting a measured signal onto a given subspace. In existing decentralized approaches, sensors communicate with their local neighbors to obtain a sequence of iterates that asymptotically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f70a101695849153bc443f863f93c45
https://doi.org/10.1109/tsp.2020.3038528
https://doi.org/10.1109/tsp.2020.3038528
Publikováno v:
IEEE Transactions on Signal Processing. 70:2842-2843
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fab2cfe4d9859e8ed25ef22f370b3c
https://doi.org/10.1109/tsp.2022.3176492
https://doi.org/10.1109/tsp.2022.3176492
Publikováno v:
VTC-Fall
A large number of applications in Wireless Sensor Networks include projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. In general, accomplishing such a task in a centralized fashion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70d65d40f7c9ee22636aed3fc616bb3
https://doi.org/10.1109/vtc2020-fall49728.2020.9348681
https://doi.org/10.1109/vtc2020-fall49728.2020.9348681
Autor:
Pouya M. Ghari, Muhammad Imran, Siavash Mollaebrahim Ghari, Mohammad Sadegh Fazel, Glauber Brante
Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27a8362d9d843d2a0ce7f91d5e1f8e48
https://eprints.gla.ac.uk/203292/7/203292.pdf
https://eprints.gla.ac.uk/203292/7/203292.pdf
Akademický článek
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Publikováno v:
ICASSP
Decentralized signal processing performs learning tasks on data distributed over a multi-node network which can be represented by a graph. Implementing linear transformations emerges as a key task in a number of applications of decentralized signal p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9779fb41d65d1fef47fd4dd489fe9745