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arXiv 2007.06902physics.app-phcs.SYeess.SY
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Enabling Adaptive and Enhanced Acoustic Sensing Using Nonlinear Dynamics

Claudia Lenk, Lars Seeber, Martin Ziegler, Philipp Hövel, Stefanie Gutschmidt

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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