Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Ricardo Carmona-Galán"'
Autor:
Franco Bandi, Victor Ilisie, Ion Vornicu, Ricardo Carmona-Galán, José M. Benlloch, Ángel Rodríguez-Vázquez
Publikováno v:
Sensors, Vol 22, Iss 1, p 122 (2021)
Silicon photomultipliers (SiPMs) are arrays of single-photon avalanche diodes (SPADs) connected in parallel. Analog silicon photomultipliers are built in custom technologies optimized for detection efficiency. Digital silicon photomultipliers are bui
Externí odkaz:
https://doaj.org/article/84162c4fb6314d7eac8b8d178c1d989b
Publikováno v:
Sensors, Vol 21, Iss 1, p 308 (2021)
In this paper, we present a proposed field programmable gate array (FPGA)-based time-to-digital converter (TDC) architecture to achieve high performance with low usage of resources. This TDC can be employed for multi-channel direct Time-of-Flight (To
Externí odkaz:
https://doaj.org/article/30317d09701f45389e098bdee7de3584
Autor:
Jorge Fernández-Berni, Ricardo Carmona-Galán, Rocío del Río, Richard Kleihorst, Wilfried Philips, Ángel Rodríguez-Vázquez
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 15203-15226 (2014)
The capture, processing and distribution of visual information is one of the major challenges for the paradigm of the Internet of Things. Privacy emerges as a fundamental barrier to overcome. The idea of networked image sensors pervasively collecting
Externí odkaz:
https://doaj.org/article/af1d2d37a1f3437ab48bbb3d53b55e20
Publikováno v:
Sensors, Vol 17, Iss 5, p 1072 (2017)
The design of a direct time-of-flight complementary metal-oxide-semiconductor (CMOS) image sensor (dToF-CIS) based on a single-photon avalanche-diode (SPAD) array with an in-pixel time-to-digital converter (TDC) must contemplate system-level aspects
Externí odkaz:
https://doaj.org/article/55a1fb79918641d886c984f23a4044a7
Autor:
Walther Carballo-Hernández, Maxime Pelcat, Shuvra S. Bhattacharyya, Ricardo Carmona Galán, François Berry
Publikováno v:
ACM Transactions on Modeling and Performance Evaluation of Computing Systems.
The introduction of deep learning algorithms, such as Convolutional Neural Networks (CNNs) in many near-sensor embedded systems, opens new challenges in terms of energy efficiency and hardware performance. An emerging solution to address these challe
Publikováno v:
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
Publikováno v:
Journal of Signal Processing Systems. 94:261-262
Autor:
Delia Velasco-Montero, Jorge Fernández-Berni, Ricardo Carmona-Galán and Ángel Rodríguez-Vázquez
Publikováno v:
Journal of Electrical and Computer Engineering Systems
This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance
Publikováno v:
Low-Power Smart Imagers for Vision-Enabled Sensor Networks ISBN: 9781461423911
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::137bdb4e8d2c868aa880cb0de1d0f104
https://doi.org/10.1007/978-1-4614-2392-8_5
https://doi.org/10.1007/978-1-4614-2392-8_5