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.
Titolo: | An energy-efficient multi-sensor compressed sensing system employing time-mode signal processing techniques | |
Autore/i: | Akgun O. C.; Mangia M.; Pareschi F.; Rovatti R.; Setti G.; Serdijn W. A. | |
Autore/i Unibo: | ||
Anno: | 2019 | |
Rivista: | ||
Titolo del libro: | Proceedings - IEEE International Symposium on Circuits and Systems | |
Pagina iniziale: | 1 | |
Pagina finale: | 5 | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/ISCAS.2019.8702667 | |
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. | |
Data stato definitivo: | 2-mar-2020 | |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |