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Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design


Yang, M-H; Liu, S-C; Delbruck, T (2014). Comparison of spike encoding schemes in asynchronous vision sensors: Modeling and design. In: IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, 1 June 2014 - 5 June 2014. Proceedings of the 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2632- 2635.

Abstract

Two in-pixel encoding mechanisms to convert analog input to spike output for vision sensors are modeled and compared with the consideration of feedback delay: one is feedback and reset (FAR), and the other is feedback and subtract (FAS). MATLAB simulations of linear signal reconstruction from spike trains generated by the two encoders show that FAR in general has a lower signal-to-distortion ratio (SDR) compared to FAS due to signal loss during the reset phase and hold period, and the SDR merit of FAS increases as the quantization bit number and input signal frequency increases. A 500 μm2 in-pixel circuit implementation of FAS using asynchronous switched capacitors in a UMC 0.18μm 1P6M process is described, and the post-layout simulation results are given to verify the FAS encoding mechanism.

Abstract

Two in-pixel encoding mechanisms to convert analog input to spike output for vision sensors are modeled and compared with the consideration of feedback delay: one is feedback and reset (FAR), and the other is feedback and subtract (FAS). MATLAB simulations of linear signal reconstruction from spike trains generated by the two encoders show that FAR in general has a lower signal-to-distortion ratio (SDR) compared to FAS due to signal loss during the reset phase and hold period, and the SDR merit of FAS increases as the quantization bit number and input signal frequency increases. A 500 μm2 in-pixel circuit implementation of FAS using asynchronous switched capacitors in a UMC 0.18μm 1P6M process is described, and the post-layout simulation results are given to verify the FAS encoding mechanism.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Electrical and Electronic Engineering
Language:English
Event End Date:5 June 2014
Deposited On:25 Feb 2015 10:44
Last Modified:26 Jan 2022 05:39
Publisher:Proceedings of the 2014 IEEE International Symposium on Circuits and Systems (ISCAS)
Series Name:2014 IEEE International Symposium on Circuits and Systems
ISBN:978-1-4799-3431-7
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/ISCAS.2014.6865713