Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Fpga chip"'
Autor:
V. V. Kliuchenia
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 19, Iss 5, Pp 86-93 (2021)
Today, mobile multimedia systems that use the H.261 / 3/4/5, MPEG-1/2/4 and JPEG standards for encoding / decoding video, audio and images are widely spread [1–4]. The core of these standards is the discrete cosine transform (DCT) of I, II, III ...
Akademický článek
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Autor:
R. F. Cordeiro, Alirio Boaventura, João Santos, Andre Prata, Arnaldo S. R. Oliveira, Daniel C. Dinis, Nuno Borges Carvalho
Publikováno v:
IEEE Microwave Magazine. 22:18-24
Radio-frequency identification (RFID) readers are the main bottleneck when building an RFID system. The cost of the readers can be high, and these devices can be bulky. Moreover, when these RFID readers have to be included in a small mobile device, t
Publikováno v:
SID Symposium Digest of Technical Papers. 50:842-845
Autor:
Škrgat, Andi
Genetski su algoritmi jedna od metoda evolucijskog računarstva koji imaju široku primjenu. Najčešće se upotrebljavaju za rješavanje kombinatoričkih problema i optimizacijskih problema čija je domena realno područje, no mogu se izuzetno kvali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4131::64da5e474a25505ae6ee4d4d2bb06cc1
https://repozitorij.fer.unizg.hr/islandora/object/fer:10138/datastream/PDF
https://repozitorij.fer.unizg.hr/islandora/object/fer:10138/datastream/PDF
Publikováno v:
FCCM
With the emerging applications such as AI/ML, exploring the FPGA design space for the optimal performance becomes important and also challenging. The popular tool COFFE was built on an academic architecture and cannot be applied directly to modern FP
Publikováno v:
ISCAS
In recent years, neural networks have been applied to various applications. To speed up the evaluation, a method using binarized network weights has been introduced, facilitating extremely efficient hardware implementation. Using electromagnetic (EM)
Publikováno v:
ICIAI
When the deep learning algorithm is deployed on FPGA platform, it is difficult to deploy different network structures with a single hardware structure. The iteration of the algorithm becomes complex and increases the iteration time. Aiming at these p
Publikováno v:
2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE).
This article first introduces two implementation methods of Virtex-7 series FPGA reconfiguration, and then combines two implementation methods according to their characteristics, proposes an online upgrade solution based on FPGA reconfiguration. Fina
Akademický článek
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