Matches in SemOpenAlex for { <https://semopenalex.org/work/W3090684109> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W3090684109 abstract "With the advent of high-speed, high-precision, and low-power mixed-signal systems, there is an ever-growing demand for accurate, fast, and energy-efficient analog-to-digital (ADCs) and digital-to-analog converters (DACs). Unfortunately, with the downscaling of CMOS technology, modern ADCs trade off speed, power and accuracy. Recently, memristive neuromorphic architectures of four-bit ADC/DAC have been proposed. Such converters can be trained in real-time using machine learning algorithms, to break through the speed-power-accuracy trade-off while optimizing the conversion performance for different applications. However, scaling such architectures above four bits is challenging. This paper proposes a scalable and modular neural network ADC architecture based on a pipeline of four-bit converters, preserving their inherent advantages in application reconfiguration, mismatch self-calibration, noise tolerance, and power optimization, while approaching higher resolution and throughput in penalty of latency. SPICE evaluation shows that an 8-bit pipelined ADC achieves 0.18 LSB INL, 0.20 LSB DNL, 7.6 ENOB, and 0.97 fJ/conv FOM. This work presents a significant step towards the realization of large-scale neuromorphic data converters." @default.
- W3090684109 created "2020-10-08" @default.
- W3090684109 creator A5014138496 @default.
- W3090684109 creator A5035176203 @default.
- W3090684109 creator A5050077579 @default.
- W3090684109 date "2020-10-01" @default.
- W3090684109 modified "2023-09-27" @default.
- W3090684109 title "A Pipelined Memristive Neural Network Analog-to-Digital Converter" @default.
- W3090684109 cites W1578783943 @default.
- W3090684109 cites W1583644244 @default.
- W3090684109 cites W1854555707 @default.
- W3090684109 cites W1964288235 @default.
- W3090684109 cites W2082665168 @default.
- W3090684109 cites W2135751681 @default.
- W3090684109 cites W2140558077 @default.
- W3090684109 cites W2144509711 @default.
- W3090684109 cites W2162651880 @default.
- W3090684109 cites W2576868284 @default.
- W3090684109 cites W2764315063 @default.
- W3090684109 cites W2775287718 @default.
- W3090684109 cites W2795403890 @default.
- W3090684109 cites W2809808428 @default.
- W3090684109 cites W2887065878 @default.
- W3090684109 cites W2893632430 @default.
- W3090684109 cites W2906593961 @default.
- W3090684109 cites W2942911053 @default.
- W3090684109 cites W2992622067 @default.
- W3090684109 doi "https://doi.org/10.1109/iscas45731.2020.9181108" @default.
- W3090684109 hasPublicationYear "2020" @default.
- W3090684109 type Work @default.
- W3090684109 sameAs 3090684109 @default.
- W3090684109 citedByCount "4" @default.
- W3090684109 countsByYear W30906841092020 @default.
- W3090684109 countsByYear W30906841092021 @default.
- W3090684109 countsByYear W30906841092022 @default.
- W3090684109 crossrefType "proceedings-article" @default.
- W3090684109 hasAuthorship W3090684109A5014138496 @default.
- W3090684109 hasAuthorship W3090684109A5035176203 @default.
- W3090684109 hasAuthorship W3090684109A5050077579 @default.
- W3090684109 hasConcept C119599485 @default.
- W3090684109 hasConcept C127413603 @default.
- W3090684109 hasConcept C150072547 @default.
- W3090684109 hasConcept C154945302 @default.
- W3090684109 hasConcept C165801399 @default.
- W3090684109 hasConcept C175202392 @default.
- W3090684109 hasConcept C177973122 @default.
- W3090684109 hasConcept C24326235 @default.
- W3090684109 hasConcept C2777271169 @default.
- W3090684109 hasConcept C2779879419 @default.
- W3090684109 hasConcept C33766855 @default.
- W3090684109 hasConcept C41008148 @default.
- W3090684109 hasConcept C50644808 @default.
- W3090684109 hasConceptScore W3090684109C119599485 @default.
- W3090684109 hasConceptScore W3090684109C127413603 @default.
- W3090684109 hasConceptScore W3090684109C150072547 @default.
- W3090684109 hasConceptScore W3090684109C154945302 @default.
- W3090684109 hasConceptScore W3090684109C165801399 @default.
- W3090684109 hasConceptScore W3090684109C175202392 @default.
- W3090684109 hasConceptScore W3090684109C177973122 @default.
- W3090684109 hasConceptScore W3090684109C24326235 @default.
- W3090684109 hasConceptScore W3090684109C2777271169 @default.
- W3090684109 hasConceptScore W3090684109C2779879419 @default.
- W3090684109 hasConceptScore W3090684109C33766855 @default.
- W3090684109 hasConceptScore W3090684109C41008148 @default.
- W3090684109 hasConceptScore W3090684109C50644808 @default.
- W3090684109 hasLocation W30906841091 @default.
- W3090684109 hasOpenAccess W3090684109 @default.
- W3090684109 hasPrimaryLocation W30906841091 @default.
- W3090684109 hasRelatedWork W2034965802 @default.
- W3090684109 hasRelatedWork W2132696896 @default.
- W3090684109 hasRelatedWork W2316679782 @default.
- W3090684109 hasRelatedWork W2587362506 @default.
- W3090684109 hasRelatedWork W2767624311 @default.
- W3090684109 hasRelatedWork W2895726985 @default.
- W3090684109 hasRelatedWork W3038845532 @default.
- W3090684109 hasRelatedWork W3215828240 @default.
- W3090684109 hasRelatedWork W4206558571 @default.
- W3090684109 hasRelatedWork W2040133747 @default.
- W3090684109 isParatext "false" @default.
- W3090684109 isRetracted "false" @default.
- W3090684109 magId "3090684109" @default.
- W3090684109 workType "article" @default.