{"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}
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.