A. Pohl, G. Ostermayer, C. Hausleitner, F. Seifert, L. Reindl
{"title":"Wavelet transform with a SAW convolver for sensor application","authors":"A. Pohl, G. Ostermayer, C. Hausleitner, F. Seifert, L. Reindl","doi":"10.1109/ULTSYM.1995.495557","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":268177,"journal":{"name":"1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.1995.495557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
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.