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arXiv · 2007.06902

Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics

Claudia Lenk·Lars Seeber·Martin Ziegler·Philipp Hövel·Stefanie Gutschmidt
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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.

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Claudia Lenk, Lars Seeber, Martin Ziegler, Philipp Hövel, Stefanie Gutschmidt. 2020-07-14. Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics. https://arxiv.org/abs/2007.06902

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