Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Tom Trigano"'
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2569 (2018)
The electrocardiogram (ECG) was the first biomedical signal for which digital signal processing techniques were extensively applied. By its own nature, the ECG is typically a sparse signal, composed of regular activations (QRS complexes and other wav
Externí odkaz:
https://doaj.org/article/4968e44d8a8745028723d8042bb3ed0f
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031281235
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9375863162bf6629cdfb8ad578690d50
https://doi.org/10.1007/978-3-031-28124-2_24
https://doi.org/10.1007/978-3-031-28124-2_24
Autor:
David Luengo, Albert Treytl, Stephanie Nestawal, Peter Arras, Kinga Korniejenko, Galyna Tabunshchyk, Tom Trigano
Publikováno v:
2022 IEEE European Technology and Engineering Management Summit (E-TEMS).
Autor:
DAVID LUENGO GARCIA, Tom Trigano
Publikováno v:
Biomedical Signal Processing and Control. 79:103921
The native hagfish slime threads, which are made up of two intermediate filament (IF)-like proteins, exhibit mechanical properties comparable to dragline spider silk fiber, the toughest fiber in nature. However, unlike silk, the design of artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::331d70c267b380e0f0f767527e9a18c6
https://doi.org/10.5167/uzh-192046
https://doi.org/10.5167/uzh-192046
Publikováno v:
28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020, 2045-2049
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
EUSIPCO
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
EUSIPCO
In this paper, we describe an efficient iterative algorithm for finding sparse solutions to a linear system. Apart from the well-known L1 norm regularization, we introduce an additional cost term promoting solutions without too-close activations. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::368a5b0c11c1f6c0e9ffba8f73facfa6
http://hdl.handle.net/10902/21904
http://hdl.handle.net/10902/21904
Publikováno v:
Computer Aided Systems Theory – EUROCAST 2019 ISBN: 9783030450953
EUROCAST (2)
Computer Aided Systems Theory – EUROCAST 2019. Lecture Notes in Computer Science | 17th International Conference on Computer Aided Systems Theory_EUROCAST 2019 | 17 al 22 de febrero de 2019 | Las Palmas de Gran Canaria (España)
Archivo Digital UPM
instname
EUROCAST (2)
Computer Aided Systems Theory – EUROCAST 2019. Lecture Notes in Computer Science | 17th International Conference on Computer Aided Systems Theory_EUROCAST 2019 | 17 al 22 de febrero de 2019 | Las Palmas de Gran Canaria (España)
Archivo Digital UPM
instname
The electrocardiogram (ECG) was the first biomedical signal subject of extensive digital signal processing techniques. Essentially, the ECG consists of a cyclic sequence of relevant activations embedded into inactivity time sequences combined with in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bfbf2539fe65e520c18cdf463fd6f22
https://doi.org/10.1007/978-3-030-45096-0_41
https://doi.org/10.1007/978-3-030-45096-0_41
Autor:
Tom Trigano, Yann Sepulcre
Publikováno v:
Signal Processing. 151:99-106
One of the main objectives of nuclear spectroscopy is the estimation of the counting rate of unknown radioactive sources. Recently an algorithm based on a sparse reconstruction of the time signal was proposed by the authors to estimate precisely this
Publikováno v:
Signal Processing. 139:131-135
The use of compressive sensing techniques has become predominant in signal processing applications when dealing with sparse signals. Theoretical results on these tools involve drastic conditions on the dictionaries used, which are usually not met in
Publikováno v:
IEEE Transactions on Signal Processing. 65:372-385
One of the main objectives of nuclear spectroscopy is the estimation of the counting rate of unknown radioactive sources. Recently, we proposed an algorithm based on a sparse reconstruction of the time signal in order to estimate precisely this count