Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Péter Szolgay"'
Autor:
Attila Fejér, Zoltán Nagy, Jenny Benois-Pineau, Péter Szolgay, Aymar de Rugy, Jean-Philippe Domenger
Publikováno v:
Journal of Imaging, Vol 8, Iss 2, p 44 (2022)
The present paper proposes an implementation of a hybrid hardware–software system for the visual servoing of prosthetic arms. We focus on the most critical vision analysis part of the system. The prosthetic system comprises a glass-worn eye tracker
Externí odkaz:
https://doaj.org/article/3e3d73bac524484282e1db583860ce03
Autor:
Jean-Philippe Domenger, Jenny Benois-Pineau, Péter Szolgay, Attila Fejer, Zoltán Nagy, Aymar de Rugy
Publikováno v:
International Journal of Circuit Theory and Applications
International Journal of Circuit Theory and Applications, Wiley, 2021, 49, pp.2255-2273. ⟨10.1002/cta.3025⟩
International Journal of Circuit Theory and Applications, Wiley, 2021, 49, pp.2255-2273. ⟨10.1002/cta.3025⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6e3e7b26c8e70d58af309c8bb08554
https://hal.archives-ouvertes.fr/hal-03373309
https://hal.archives-ouvertes.fr/hal-03373309
Publikováno v:
IEEE Circuits and Systems Magazine. 18:77-89
Cellular neural/nonlinear networks were invented almost 30 years ago. The CNN research led to high performance computational architectures, neuromorphic modells of the visual and auditory pathways, stability results for arrays of coupled dynamic proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6dd981803152aef78e81ca9cdcd1b618
https://doi.org/10.1109/mcas.2018.2821771
https://doi.org/10.1109/mcas.2018.2821771
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
The function of the low-level image processing that takes place in the biological retina is to compress only the relevant visual information to a manageable size. The behavior of the layers and different channels of the neuromorphic retina has been s
Externí odkaz:
https://doaj.org/article/f92f7ffb986146339098aad556c603bd
Autor:
András Kiss, Miklós Ruszinkó, Arpad Csik, Péter Szolgay, Antal Hiba, Csaba Nemes, Zoltán Nagy
Publikováno v:
Concurrency and Computation: Practice and Experience. 26:615-643
In the paper, an field-programmable gate array FPGA-based framework is described to efficiently accelerate unstructured finite volume computations where the same mathematical expression has to be evaluated at every point of the mesh. The irregular me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1821571cd3482458ecf9682131de95f3
https://doi.org/10.1002/cpe.3022
https://doi.org/10.1002/cpe.3022
Publikováno v:
Journal of Signal Processing Systems. 64:279-290
Wavefront aberrations caused by turbulent or rapidly changing media can considerably degrade the performance of an imaging system. To dynamically compensate these wavefront distortions adaptive optics is applied. We developed an affordable adaptive o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a31965dec1916c477bddc4b8aa9b7e57
https://doi.org/10.1007/s11265-010-0487-4
https://doi.org/10.1007/s11265-010-0487-4
Publikováno v:
International Journal of Circuit Theory and Applications. 37:569-585
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587a85969ec7dd8e7eafd5eca6441e1a
https://doi.org/10.1002/cta.565
https://doi.org/10.1002/cta.565
Publikováno v:
International Journal of Circuit Theory and Applications. 36:589-603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17c854d98b2a56fe2752d5845ca6917e
https://doi.org/10.1002/cta.507
https://doi.org/10.1002/cta.507
Publikováno v:
ISCAS
In this paper, we demonstrate an optically inspired massively parallel non-Boolean operator which can emulate 3D wave dynamics on a 2D FPGA-based architecture. The algorithm is based on the Paraxial Helmholtz Equation: which describes the beam propag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcb576c8a46f95ab462f4cc9bc44de0f
https://doi.org/10.1109/iscas.2015.7169063
https://doi.org/10.1109/iscas.2015.7169063
Publikováno v:
ISCAS
Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78e121dfdde3acd37fc43ce78d6104d1
https://doi.org/10.1109/iscas.2015.7168655
https://doi.org/10.1109/iscas.2015.7168655