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Status: Bibliographieeintrag

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Verfasst von:Fatemieh, Erfan [VerfasserIn]   i
 Reshadinezhad, Mohammad Reza [VerfasserIn]   i
 Taherinejad, Nima [VerfasserIn]   i
Titel:Fast and compact serial IMPLY-based approximate full adders applied in image processing
Verf.angabe:Seyed Erfan Fatemieh, Mohammad Reza Reshadinezhad, Nima TaheriNejad
E-Jahr:2023
Jahr:March 2023
Umfang:14 S.
Fussnoten:Veröffentlicht: 31. Januar 2023 ; Gesehen am 17.05.2023
Titel Quelle:Enthalten in: Institute of Electrical and Electronics EngineersIEEE journal on emerging and selected topics in circuits and systems
Ort Quelle:New York, NY : IEEE, 2011
Jahr Quelle:2023
Band/Heft Quelle:13(2023), 1 vom: März, Seite 175-188
ISSN Quelle:2156-3365
Abstract:The barriers to improving computers’ performance have led to the emergence of new computing paradigms and technologies. Among these, the memristors are of great concern. In addition to storing data, memristors can perform logical operations and are proper for In-Memory Computation (IMC). Furthermore, approximate computing is an emerging paradigm introduced to improve performance by reducing the accuracy of calculations in error-resistant applications. These two concepts are combined and presented in four serial Material Implication (IMPLY)-based approximate full adders. In addition, to the positive features of the serial method, the proposed circuits reduce the number of calculation steps by 7%-43%, and the energy consumption improves by 56%-68% compared to the existing exact full adders. The accuracy loss of proposed circuits in different simulated scenarios combining exact and approximate adders are analyzed. Four different image processing applications are applied to ensure the proper functionality of the proposed circuits. The results indicate that in most scenarios, the quality of the images is acceptable, and the Peak Signal-to-Noise Ratio (PSNR) criterion is more than 30 dB.
DOI:doi:10.1109/JETCAS.2023.3241012
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://dx.doi.org/10.1109/JETCAS.2023.3241012
 DOI: https://doi.org/10.1109/JETCAS.2023.3241012
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Adders
 Approximate computing
 approximate full adder
 Computer architecture
 error analysis
 Hardware
 image processing
 Image processing
 IMPLY
 Measurement
 memristors
 Memristors
K10plus-PPN:1845608925
Verknüpfungen:→ Zeitschrift

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