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

Omer Can Akgun; Mauro Mangia; Fabio Pareschi; Riccardo Rovatti; Gianluca Setti; Wouter A. Serdijn

doi:10.1109/ISCAS.2019.8702667

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

Omer Can Akgun, Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti, Wouter A. Serdijn

Bio-Electronics

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

100 Downloads (Pure)

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.

Original language	English
Title of host publication	2019 IEEE International Symposium on Circuits and Systems (ISCAS)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-4
Number of pages	4
ISBN (Electronic)	978-1-7281-0397-6
ISBN (Print)	978-1-7281-0398-3
DOIs	https://doi.org/10.1109/ISCAS.2019.8702667
Publication status	Published - 2019
Event	2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan Duration: 26 May 2019 → 29 May 2019

Conference

Conference	2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Country/Territory	Japan
City	Sapporo
Period	26/05/19 → 29/05/19

Bibliographical note

Accepted author manuscript

Keywords

Compressed sensing
Energy efficiency
Rakeness
Time-mode
Time-mode signal processing
Ultra-low energy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISCAS.2019.8702667

iscas2019 (1)Accepted author manuscript, 280 KB

Cite this

@inproceedings{ea33e30d058e4690836e630ab22e5376,

title = "An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques",

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.",

keywords = "Compressed sensing, Energy efficiency, Rakeness, Time-mode, Time-mode signal processing, Ultra-low energy",

author = "Akgun, {Omer Can} and Mauro Mangia and Fabio Pareschi and Riccardo Rovatti and Gianluca Setti and Serdijn, {Wouter A.}",

note = "Accepted author manuscript; 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 ; Conference date: 26-05-2019 Through 29-05-2019",

year = "2019",

doi = "10.1109/ISCAS.2019.8702667",

language = "English",

isbn = "978-1-7281-0398-3",

pages = "1--4",

booktitle = "2019 IEEE International Symposium on Circuits and Systems (ISCAS)",

publisher = "IEEE",

address = "United States",

}

Akgun, OC, Mangia, M, Pareschi, F, Rovatti, R, Setti, G & Serdijn, WA 2019, An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques. in 2019 IEEE International Symposium on Circuits and Systems (ISCAS)., 8702667, IEEE, Piscataway, NJ, pp. 1-4, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, 26/05/19. https://doi.org/10.1109/ISCAS.2019.8702667

An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques. / Akgun, Omer Can; Mangia, Mauro; Pareschi, Fabio et al.
2019 IEEE International Symposium on Circuits and Systems (ISCAS). Piscataway, NJ: IEEE, 2019. p. 1-4 8702667.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - An Energy-Efficient Multi-Sensor Compressed Sensing System Employing Time-Mode Signal Processing Techniques

AU - Akgun, Omer Can

AU - Mangia, Mauro

AU - Pareschi, Fabio

AU - Rovatti, Riccardo

AU - Setti, Gianluca

AU - Serdijn, Wouter A.

N1 - Accepted author manuscript

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Compressed sensing

KW - Energy efficiency

KW - Rakeness

KW - Time-mode

KW - Time-mode signal processing

KW - Ultra-low energy

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M3 - Conference contribution

SN - 978-1-7281-0398-3

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BT - 2019 IEEE International Symposium on Circuits and Systems (ISCAS)

PB - IEEE

CY - Piscataway, NJ

T2 - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019

Y2 - 26 May 2019 through 29 May 2019

ER -

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

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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