Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sara Al-Sayed"'
Autor:
Sara Al-Sayed
Publikováno v:
Journal for Peace and Nuclear Disarmament, Vol 5, Iss 2, Pp 496-506 (2022)
The last couple of decades have seen a surge in non-state actors wielding increasingly accessible information and communication technologies to provide intelligence to relevant publics and governments on a range of issues, including on nuclear activi
Externí odkaz:
https://doaj.org/article/310430c94b104deaa0cb5e3e6429c5db
Publikováno v:
IEEE Transactions on Signal Processing. 65:3909-3921
Diffusion adaptive networks tasked with solving estimation problems have attracted attention in recent years due to their reliability, scalability, resource efficiency, and resilience to node and link failure. Diffusion adaptation strategies that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b09bc889ae907bf834da1cab89a87bc
https://doi.org/10.1109/tsp.2017.2703664
https://doi.org/10.1109/tsp.2017.2703664
Autor:
Heinz Koeppl, Sara Al-Sayed
Publikováno v:
IEEE MLSP 2018
(MLSP 2018) 2018 IEEE International Workshop on Machine Learning for Signal Processing
MLSP
(MLSP 2018) 2018 IEEE International Workshop on Machine Learning for Signal Processing
MLSP
In this work, we appropriate the popular tool of Gaussian processes to solve the problem of reconstructing networks from time-series perturbation data. To this end, we propose a construction for multivariateGaussian processes to describe the continuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6cb248dd3e3b1375f5e447d23bd8d3
https://doi.org/10.5281/zenodo.1488636
https://doi.org/10.5281/zenodo.1488636
© 2017 IEEE. Diffusion adaptation techniques have shown great promise in addressing the problem of node-specific distributed estimation where the nodes in the network are interested in different, possibly overlapping, sets of parameters. In thiswork
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9650e2e5400e49e300a35197f23cdcd5
https://lirias.kuleuven.be/handle/123456789/597283
https://lirias.kuleuven.be/handle/123456789/597283
Publikováno v:
SPAWC
The least-mean squares algorithm is non-robust against impulsive noise. Incorporating an error nonlinearity into the update equation is one useful way to mitigate the effects of impulsive noise. This work develops an adaptive structure that parametri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bf2462b23c41e4b8c68c08c569c2e04
https://doi.org/10.1109/spawc.2013.6612083
https://doi.org/10.1109/spawc.2013.6612083
Autor:
Aydin Sezgin, Sara Al-Sayed
Publikováno v:
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.
In this work, we investigate the Gaussian MIMO bidirectional broadcast wiretap channel, from the vantage point of optimal transmit strategy design, to fulfill a certain secrecy constraint. An achievable secrecy rate region is computed and the gap to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a938c44519d669667918db22f83ef135
https://doi.org/10.1109/acssc.2010.5757518
https://doi.org/10.1109/acssc.2010.5757518
Publikováno v:
ICASSP
Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38f6cb4483409917db1a97c5687e3081
https://infoscience.epfl.ch/record/233478
https://infoscience.epfl.ch/record/233478