DocumentCode
3638490
Title
A signal-agnostic compressed sensing acquisition system for wireless and implantable sensors
Author
Fred Chen;Anantha P. Chandrakasan;Vladimir Stojanović
Author_Institution
Department of EECS, Massachusetts Institute of Technology, Cambridge, 02139, USA
fYear
2010
Firstpage
1
Lastpage
4
Abstract
A signal-agnostic compressed sensing (CS) acquisition system is presented that addresses both the energy and telemetry bandwidth constraints of wireless sensors. The CS system enables continuous data acquisition and compression that are suitable for a variety of biophysical signals. A hardware efficient realization of the CS sampling demonstrates data compression up to 40x on an EEG signal while maintaining low perceptual loss in the reconstructed signal. The proposed system also simultaneously relaxes the noise and resolution constraints of the analog front end (AFE) and ADC by nearly an order of magnitude. The CS sampling hardware is implemented in a 90 nm CMOS process and consumes 1.9 µW at 0.6 V and 20 kS/s.
Keywords
"Signal resolution","Wireless communication","Wireless sensor networks","Noise","Sensor systems","Compressed sensing"
Publisher
ieee
Conference_Titel
Custom Integrated Circuits Conference (CICC), 2010 IEEE
ISSN
0886-5930
Print_ISBN
978-1-4244-5758-8
Electronic_ISBN
2152-3630
Type
conf
DOI
10.1109/CICC.2010.5617383
Filename
5617383
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