Zobrazeno 1 - 10
of 169
pro vyhledávání: '"F Garcia Fernandez"'
Autor:
F Garcia Fernandez, S Calvo Simal, O Cano, D Calvo, L Villagraz, J Martin, D Cantero, L Aguilar Iglesias, I Fernandez Lozano, M Pombo
Publikováno v:
Europace. 25
Funding Acknowledgements Type of funding sources: None. Background Remote monitoring of implantable cardiac devices (CIEDs) has proven to be reliable, more efficient and even safer than conventional in-office follow-ups However, its implementation ha
Autor:
Yuxuan Xia, Lennart Svensson, Angel F. Garcia-Fernandez, Jason L. Williams, Daniel Svensson, Karl Granstrom
Publikováno v:
IEEE Transactions on Signal Processing
This paper presents a general solution for computing the multi-object posterior for sets of trajectories from a sequence of multi-object (unlabelled) filtering densities and a multi-object dynamic model. Importantly, the proposed solution opens an av
Autor:
Simo Sarkka, Angel F. Garcia-Fernandez
Publikováno v:
IEEE Transactions on Automatic Control
This paper proposes a general formulation for temporal parallelisation of dynamic programming for optimal control problems. We derive the elements and associative operators to be able to use parallel scans to solve these problems with logarithmic tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56cc720afc0aee39491355e6500814c3
https://aaltodoc.aalto.fi/handle/123456789/119974
https://aaltodoc.aalto.fi/handle/123456789/119974
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
Publikováno v:
2022 25th International Conference on Information Fusion (FUSION).
Publikováno v:
2022 6th International Conference on Imaging, Signal Processing and Communications (ICISPC).
Publikováno v:
WIRELESS NETWORKS
Dynamic Spectrum Access/Cognitive Radio systems access the channel in an opportunistic, non-interfering manner with the primary network. These systems utilize spectrum sensing techniques to sense the occupancy of the primary user. In this paper, an a
This paper proposes a clustering and merging approach for the Poisson multi-Bernoulli mixture (PMBM) filter to lower its computational complexity and make it suitable for multiple target tracking with a high number of targets. We define a measurement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4703939d5997f705d3d0bce43efef71c