International audienceSampling is becoming one of the most important topics for the Internet of Things (IoT). Indeed, the amount of data daily produced is so huge that the data processing cost will deeply affect the electricity generation in a near future. The big data is already a reality but a good way to mitigate this incredible data flow is to differently sample the information. This article presents - based on asynchronous analog-to-digital conversion - a way to limit the data flow and the power consumption for a host of sensors. By an adequate sampling technique, such as a level-crossing sampling scheme, a drastic activity and power reduction is feasible. An image sensor using 1-level crossing sampling is given as an illustration
© 2016 IEEE. Analog-to-information converters and Compressed Sampling (CS) sensor front-ends try to ...
International audienceThe mobile systems are powered by batteries. Reducing the system power consump...
International audienceToday, our digital society exchanges data flows that are incredibly large and ...
International audienceSampling is becoming one of the most important topics for the Internet of Thin...
ISBN 978-1-4244-5308-5International audienceToday signal processing systems uniformly sample analog ...
International audienceA novel reading architecture for CMOS image sensor for low data rate has been ...
International audienceNowadays, research essentially tends to overcome the power consumption issue i...
Level crossing sampling (LCS) is a power-efficient analog-to-digital conversion scheme for spikelike...
International audienceThe recent sophistications in areas of mobile systems and sensor networks dema...
Within scientific research, engineering, and consumer electronics, there is a multitude of new discr...
EBCCSP 2017: 3rd International Conference on Event-Based Control, Communication and Signal Processin...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceCircuit power consumption is closely related to data processing. This observat...
This paper presents a fully integrated second-order level-crossing sampling data converter for sensi...
Proposal Summary—Nowadays, since more and more battery-operated devices are involved in applications...
© 2016 IEEE. Analog-to-information converters and Compressed Sampling (CS) sensor front-ends try to ...
International audienceThe mobile systems are powered by batteries. Reducing the system power consump...
International audienceToday, our digital society exchanges data flows that are incredibly large and ...
International audienceSampling is becoming one of the most important topics for the Internet of Thin...
ISBN 978-1-4244-5308-5International audienceToday signal processing systems uniformly sample analog ...
International audienceA novel reading architecture for CMOS image sensor for low data rate has been ...
International audienceNowadays, research essentially tends to overcome the power consumption issue i...
Level crossing sampling (LCS) is a power-efficient analog-to-digital conversion scheme for spikelike...
International audienceThe recent sophistications in areas of mobile systems and sensor networks dema...
Within scientific research, engineering, and consumer electronics, there is a multitude of new discr...
EBCCSP 2017: 3rd International Conference on Event-Based Control, Communication and Signal Processin...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
International audienceCircuit power consumption is closely related to data processing. This observat...
This paper presents a fully integrated second-order level-crossing sampling data converter for sensi...
Proposal Summary—Nowadays, since more and more battery-operated devices are involved in applications...
© 2016 IEEE. Analog-to-information converters and Compressed Sampling (CS) sensor front-ends try to ...
International audienceThe mobile systems are powered by batteries. Reducing the system power consump...
International audienceToday, our digital society exchanges data flows that are incredibly large and ...