Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Gabriel Caffarena"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
A fast and accurate quantization noise estimator aiming at fixed-point implementations of Digital Signal Processing (DSP) algorithms is presented. The estimator enables significant reduction in the computation time required to perform complex word-le
Externí odkaz:
https://doaj.org/article/f8e735be79cf4232802cc93e5d10abdc
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2009 (2009)
We address the automatic synthesis of DSP algorithms using FPGAs. Optimized fixed-point implementations are obtained by means of considering (i) a multiple wordlength approach; (ii) a complete datapath formed of wordlength-wise resources (i.e., funct
Externí odkaz:
https://doaj.org/article/a2d9e2c9ef1f4783874d8c0877c59280
Publikováno v:
Information Sciences. 584:649-664
Nowadays often multiple sensors provide real-time data about the same process. However, most data stream analysis algorithms work over a single feature vector. A common approach to overcome this issue is to combine the features extracted from each se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd87f0da93ed0dfd26f1a25df11cc86e
https://doi.org/10.1016/j.ins.2021.10.049
https://doi.org/10.1016/j.ins.2021.10.049
Autor:
Manuel Bobes-Ortega, Maria Defarges-Martinez, Alba Ortiz-Vallejuelo, Gabriel Caffarena, Pablo Perez-Tirador, Ruzica Jevtic
Publikováno v:
2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d55800d5d7c666c86194765a30f6529
https://doi.org/10.1109/mysurucon55714.2022.9972545
https://doi.org/10.1109/mysurucon55714.2022.9972545
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5a69f908e8743b5d306df609513279
https://doi.org/10.23919/eusipco55093.2022.9909766
https://doi.org/10.23919/eusipco55093.2022.9909766
Autor:
Gabriel Caffarena
Publikováno v:
Approximate Computing Techniques ISBN: 9783030947040
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d4b17fb785a765b9d306281776b2566
https://doi.org/10.1007/978-3-030-94705-7_9
https://doi.org/10.1007/978-3-030-94705-7_9
Publikováno v:
2021 IEEE Mysore Sub Section International Conference (MysuruCon).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9af850999c164a14347675245f6100f3
https://doi.org/10.1109/mysurucon52639.2021.9641522
https://doi.org/10.1109/mysurucon52639.2021.9641522
Publikováno v:
Electronics
Volume 10
Issue 19
Electronics, Vol 10, Iss 2324, p 2324 (2021)
Volume 10
Issue 19
Electronics, Vol 10, Iss 2324, p 2324 (2021)
Automatic ECG signal characterization is of critical importance in patient monitoring and diagnosis. This process is computationally intensive, and low-power, online (real-time) solutions to this problem are of great interest. In this paper, we prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5542f43b734bfcaf8cdd08822f6a87c
Autor:
Amanda Perez-Porro, Gabriel Caffarena, María Palacios, Abraham Otero, Constantino Antonio Garcia
Publikováno v:
World Congress on Electrical Engineering and Computer Systems and Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc9e451b0d3ae5eb970a5852505ac92
https://doi.org/10.11159/icbes21.113
https://doi.org/10.11159/icbes21.113
Publikováno v:
Integration. 68:1-11
This work presents a high-level electronic design automation (EDA) tool named Witelo, which produces high-performance functional macroblocks from a given computational kernel specification in the C programming language. High-performance is achieved t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f24ebb04a27010dc5fa86d4d3020789
https://doi.org/10.1016/j.vlsi.2019.05.001
https://doi.org/10.1016/j.vlsi.2019.05.001