An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques

Conference Paper (2019)
Authors

Can Akgün (TU Delft - Bio-Electronics)

Mauro Mangia (University of Bologna)

Fabio Pareschi (Politecnico di Torino)

Riccardo Rovatti (University of Bologna)

Gianluca Setti (Politecnico di Torino)

W.A. Serdijn (TU Delft - Bio-Electronics)

Research Group
Bio-Electronics
Copyright
© 2019 O.C. Akgün, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, W.A. Serdijn
To reference this document use:
https://doi.org/10.1109/ISCAS.2019.8702667
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 O.C. Akgün, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, W.A. Serdijn
Research Group
Bio-Electronics
Bibliographical Note
Accepted author manuscript@en
Pages (from-to)
1-4
ISBN (print)
978-1-7281-0398-3
ISBN (electronic)
978-1-7281-0397-6
DOI:
https://doi.org/10.1109/ISCAS.2019.8702667
Reuse Rights

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Abstract

This paper presents the design of an ultra-low energy, rakeness-based compressed sensing (CS) system that utilizes time-mode (TM) signal processing (TMSP). To realize TM CS operation, the presented implementation makes use of monostable multivibrator based analog-to-time converters, fixed-width pulse generators, basic digital gates and an asynchronous time-to-digital converter. The TM CS system was designed in a standard 0.18 µm IC process and operates from a supply voltage of 0.6V. The system is designed to accommodate data from 128 individual sensors and outputs 9-bit digital words with an average reconstruction SNR of 35.31 dB, a compression ratio of 3.2, with an energy dissipation per channel per measurement vector of 0.621 pJ at a rate of 2.23 k measurement vectors per second.

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