Zobrazeno 1 - 10
of 267
pro vyhledávání: '"digital circuit design"'
Publikováno v:
Algorithms, Vol 16, Iss 8, p 365 (2023)
Grammatical Evolution is a Genetic Programming variant which evolves problems in any arbitrary language that is BNF compliant. Since its inception, Grammatical Evolution has been used to solve real-world problems in different domains such as bio-info
Externí odkaz:
https://doaj.org/article/5422a6dca14f45a7a475a54e8e8068e0
Publikováno v:
IET Power Electronics, Vol 14, Iss 8, Pp 1529-1539 (2021)
Abstract This paper deals with the design and implementation of the conventional Level‐Shifted‐PWM (LS‐PWM) and the PWM‐hybrid modulation techniques in a Field‐Programmable Gate Array (FPGA) development card, applicable to binary asymmetric
Externí odkaz:
https://doaj.org/article/0caf48e0292646c8af258199707e9826
Autor:
Cheng, Yuan1, Lou, Zhenxiu1, Xin, Qingming2, Wang, Xuefan3, Ye, Caiyong3, Xie, Xianfei3, He, Yigang1
Publikováno v:
IEEE Transactions on Plasma Science. Feb2015, Vol. 43 Issue 5, p1368-1376. 9p.
Publikováno v:
Electronics Letters, Vol 57, Iss 19, Pp 718-720 (2021)
Abstract This letter proposes a new design for a dual segmentation approximate multiplier. The proposed approximate multiplier uses the static segment method (SSM) to select an initial multiplication segment. Following that, the dynamic segment metho
Externí odkaz:
https://doaj.org/article/ce83eb2dce564c39b80228fc848915b2
Autor:
Gapinski, Andrzej J.
Publikováno v:
e-mentor. 84(2):22-31
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=883100
Publikováno v:
Electronics Letters, Vol 57, Iss 16, Pp 630-632 (2021)
Abstract Nanoscale S‐type NbOx locally active memristors (LAMs) open up new opportunities in the brain‐inspired neuromorphic computing. Simple yet accurate models for these memristors can provide benefits for designing related circuits and system
Externí odkaz:
https://doaj.org/article/cf16c8a3bc154afb95f31ec8ec2c888d
Publikováno v:
Electronics Letters, Vol 57, Iss 15, Pp 573-575 (2021)
Abstract Convolutional neural network (CNN) is widely used for various deep learning applications because of its best‐in‐class classification performance. However, CNN needs several multiply‐accumulate (MAC) operations to realize human‐level
Externí odkaz:
https://doaj.org/article/6164b18bd5f44b5cb6db21f4ee378d67
Akademický článek
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Autor:
Barbashov, V.1 VMBarbashov@MEPHI.ru, Kalashnikov, O.1
Publikováno v:
Russian Microelectronics. May2017, Vol. 46 Issue 3, p155-161. 7p.
Autor:
Jani, Lázár1 jani@eet.bme.hu, Poppe, András1
Publikováno v:
Microelectronics Reliability. Dec2016, Vol. 67, p46-53. 8p.