基于小波技术的压电晶体体漏声微波检测

D. Benatia, M. Benslama
{"title":"基于小波技术的压电晶体体漏声微波检测","authors":"D. Benatia, M. Benslama","doi":"10.1109/ICM.2004.1434730","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach for bulk and leaky detection of an acoustic microwave signal. For this reason, we have used a wavelet transform as a numerical analysis method. The originality of this model consists of the local analysis signal singularities where abrupt events appear and hence access to hidden information by using the scale of this transform as up scaling parameters. These singularities inform us of the presence of bulk and leaky waves.","PeriodicalId":359193,"journal":{"name":"Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.","volume":"77 2 Suppl 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Detection of bulk and leaky acoustic microwaves in piezoelectric crystal by wavelet technique\",\"authors\":\"D. Benatia, M. Benslama\",\"doi\":\"10.1109/ICM.2004.1434730\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new approach for bulk and leaky detection of an acoustic microwave signal. For this reason, we have used a wavelet transform as a numerical analysis method. The originality of this model consists of the local analysis signal singularities where abrupt events appear and hence access to hidden information by using the scale of this transform as up scaling parameters. These singularities inform us of the presence of bulk and leaky waves.\",\"PeriodicalId\":359193,\"journal\":{\"name\":\"Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.\",\"volume\":\"77 2 Suppl 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2004.1434730\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. The 16th International Conference on Microelectronics, 2004. ICM 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2004.1434730","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种声学微波信号体积和泄漏检测的新方法。因此,我们使用小波变换作为数值分析方法。该模型的新颖之处在于在突发事件出现的地方分析信号的局部奇异点,从而利用该变换的尺度作为上尺度参数获取隐藏信息。这些奇点告诉我们存在体波和漏波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of bulk and leaky acoustic microwaves in piezoelectric crystal by wavelet technique
In this paper, we propose a new approach for bulk and leaky detection of an acoustic microwave signal. For this reason, we have used a wavelet transform as a numerical analysis method. The originality of this model consists of the local analysis signal singularities where abrupt events appear and hence access to hidden information by using the scale of this transform as up scaling parameters. These singularities inform us of the presence of bulk and leaky waves.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信