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.

中文翻译：

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使用非线性动力学实现自适应和增强的声学传感

由于传感器数据的远程处理等，实时数据的传输正在急剧增加。满足这一需求的一种途径是自适应传感，其中传感器使用传感器级别的预处理仅获取相关信息。我们在此介绍基于具有集成传感和驱动的机械振荡器的自适应声学传感器。它们的动力学通过反馈或耦合转变为非线性状态。这增强了动态范围、频率分辨率和信噪比。将可调传感特性与声音分析相结合，可以只获取相关信息，而不是通过后处理从不相关的数据中提取这些信息。