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An Accuracy-Area Tradeoff for Mixed-Signal Computation in Programmable Smart Image Sensors

Abstract : Tightly embedded systems often require low power real time processing of acquired sensor data. This paper presents the design and transistor-level implementation of a mixed-signal processing element for highly area-constrained systems in applications where approximate computing is sufficient. The analog processing unit consists of a switched capacitor circuit whose imperfections such as finite gain or offset errors are evaluated here through theoretical analyses and Monte Carlo simulations for a CMOS 0.35μm technology. Transistor-level simulation results further demonstrate that this processing unit is suitable for image pre-processing tasks such as spatial convolution for edge detection.
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Contributor : Juliette Le Hir Connect in order to contact the contributor
Submitted on : Monday, December 3, 2018 - 5:35:33 PM
Last modification on : Wednesday, September 8, 2021 - 6:07:19 PM
Long-term archiving on: : Monday, March 4, 2019 - 3:33:31 PM


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Juliette Le Hir, Filipe Vinci dos Santos, Anthony Kolar. An Accuracy-Area Tradeoff for Mixed-Signal Computation in Programmable Smart Image Sensors. 2018 16th IEEE International New Circuits and Systems Conference (NEWCAS), Jun 2018, Montréal, Canada. ⟨10.1109/newcas.2018.8585521⟩. ⟨hal-01943422⟩



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