小波变换与声波卷积器的传感器应用

A. Pohl, G. Ostermayer, C. Hausleitner, F. Seifert, L. Reindl
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引用次数: 18

摘要

为了从单独寻址的声呐传感器中获取传感器信息,将编码id标签型声呐传感器与小波变换(一种相关信号处理工具)相结合。SAW传感器(ID-tag类型)的功能分别观察为时间和形状的标度。时间标度因子等于温度等传感器衬底的机械伸长。该比例因子通过计算小波变换来评估。基本概念,数学模拟,数值估计,最后,概述了利用声波卷积器处理的小波变换实现的声波传感器系统。给出了初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet transform with a SAW convolver for sensor application
To obtain the sensor information from an individually addressed SAW sensor, the use of coded ID-tag type SAW sensors is combined with the tool of wavelet transform, a type of correlative signal processing. The function of SAW sensors (ID-tag type) is observed as a scaling of time and shape respectively. The time scaling factor is equal to the mechanical extension of the substrate of a sensor for temperature, etc. This scaling factor is evaluated by calculating the wavelet transform. The fundamental concept, mathematical simulations, numerical estimations and finally, an overview of the implemented SAW sensor system using the wavelet transform processed within a SAW convolver are shown. Preliminary results are presented.
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