Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics
Abstract
Transmission of real-time data is strongly increasing due to remote processing of sensor data, among other things. A route to meet this demand is adaptive sensing, in which sensors acquire only relevant information using pre-processing at sensor level. We present here adaptive acoustic sensors based on mechanical oscillators with integrated sensing and actuation. Their dynamics are shifted into a nonlinear regime using feedback or coupling. This enhances dynamic range, frequency resolution and signal-to-noise ratio. Combining tunable sensing properties with sound analysis could enable acquiring of only relevant information rather than extracting this from irrelevant data by post-processing.
Cite
@article{arxiv.2007.06902,
title = {Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics},
author = {Claudia Lenk and Lars Seeber and Martin Ziegler and Philipp Hövel and Stefanie Gutschmidt},
journal= {arXiv preprint arXiv:2007.06902},
year = {2020}
}
Comments
accepted for publication in 2020 IEEE International Symposium on Circuits and Systems (ISCAS)