A fully passive compressive sensing SAR ADC for low-power wireless sensors
The compressive sensing (CS) theory states that the sparsity of a signal can be exploited to
reduce the analog-to-digital converter (ADC) conversion rate and save power. However …
reduce the analog-to-digital converter (ADC) conversion rate and save power. However …
Multi-channel simultaneous data acquisition through a compressive sampling-based approach
Nowadays, a variety of measurement applications require the acquisition and processing of
signals coming from many disseminated sensors. To reduce the cost of the overall …
signals coming from many disseminated sensors. To reduce the cost of the overall …
A 130 nm 165 nj/frame compressed-domain smashed-filter-based mixed-signal classifier for “in-sensor” analytics in smart cameras
A Amaravati, S Xu, J Romberg… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
To avoid data deluge at the back end, it is imperative that advanced sensor nodes perform
“in-sensor” processing to extract relevant features from data. We propose a compressed …
“in-sensor” processing to extract relevant features from data. We propose a compressed …
Energy efficient EEG acquisition and reconstruction for a wireless body area network
Abstract In Wireless Body Area Networks (WBAN) the energy consumption is dominated by
sensing and communication. Previous Compressed Sensing (CS) based solutions to EEG …
sensing and communication. Previous Compressed Sensing (CS) based solutions to EEG …
An inter-device communication protocol for modular smart-objects
R Brama, P Tundo, A Della Ducata… - 2014 IEEE World …, 2014 - ieeexplore.ieee.org
The ability to gather and analyze distributed data adding value to extracted information is a
core concept in the Internet of Things. Smart-Objects with multi-sensor capability further …
core concept in the Internet of Things. Smart-Objects with multi-sensor capability further …
Ultra-low power multi-channel data conversion with a single SAR ADC for mobile sensing applications
Based on the recently emerging compressive sensing theory, the paper proposes an ultra-
low power multichannel data conversion system whose architecture is almost as simple as a …
low power multichannel data conversion system whose architecture is almost as simple as a …
Linearity boosting technique with adaptive sampling switch assisted by signal prediction for multi-channel ADCs in standard CMOS process
Z Jiao, X Wang, H Luo, J Zhang… - 2021 IEEE Nordic …, 2021 - ieeexplore.ieee.org
A linearity boosting technique that samples the signal with adaptive sampling switch
assisted by signal prediction is presented in this work for multi-channel ADCs. The linearity …
assisted by signal prediction is presented in this work for multi-channel ADCs. The linearity …
Energy efficient analog-to-information converter for biopotential acquisition systems
Analog to Information Converter (AIC) is the heart of an energy efficient bio potential
acquisition system using compressed sensing (CS) technique. This paper presents the …
acquisition system using compressed sensing (CS) technique. This paper presents the …
A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection
In-sensor analytics are in high demand to avoid high computation at server back end.
Traditional analog sensors require high supply voltage in the range of 1-1.2 V even when …
Traditional analog sensors require high supply voltage in the range of 1-1.2 V even when …
Energy efficient biopotential acquisition unit for wearable health monitoring applications
W Singh, Y Gupta, P Jivani… - 2017 18th International …, 2017 - ieeexplore.ieee.org
This paper presents a biopotential acquisition unit with an instrumentation amplifier and
analog-to-information converter for wearable health monitoring applications. The …
analog-to-information converter for wearable health monitoring applications. The …