超声无损检测中小波反卷积技术的比较

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1988-04-11 DOI:10.1109/ICASSP.1988.196725

C. Chen, W. Hsu, S. Sin

{"title":"超声无损检测中小波反卷积技术的比较","authors":"C. Chen, W. Hsu, S. Sin","doi":"10.1109/ICASSP.1988.196725","DOIUrl":null,"url":null,"abstract":"Wavelet deconvolution is a problem of fundamental importance in many signal processing applications. The authors are concerned with deconvolution to extract impulse responses of materials tested in ultrasonic nondestructive testing (NDT). The impulse responses can provide vital information about the flaws and material properties. Several deconvolution techniques including Wiener filtering in three versions, the spiking filter, time domain deconvolution, L1 norm deconvolution, and others are examined and critical comparisons are made for the ultrasonic NDT data.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A comparison of wavelet deconvolution techniques for ultrasonic NDT\",\"authors\":\"C. Chen, W. Hsu, S. Sin\",\"doi\":\"10.1109/ICASSP.1988.196725\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wavelet deconvolution is a problem of fundamental importance in many signal processing applications. The authors are concerned with deconvolution to extract impulse responses of materials tested in ultrasonic nondestructive testing (NDT). The impulse responses can provide vital information about the flaws and material properties. Several deconvolution techniques including Wiener filtering in three versions, the spiking filter, time domain deconvolution, L1 norm deconvolution, and others are examined and critical comparisons are made for the ultrasonic NDT data.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.196725\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.196725","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 13

摘要

在许多信号处理应用中，小波反卷积是一个非常重要的问题。研究了超声无损检测中提取材料脉冲响应的反褶积方法。脉冲响应可以提供有关缺陷和材料特性的重要信息。研究了几种反卷积技术，包括三种版本的维纳滤波、尖峰滤波、时域反卷积、L1范数反卷积等，并对超声无损检测数据进行了关键比较

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A comparison of wavelet deconvolution techniques for ultrasonic NDT

Wavelet deconvolution is a problem of fundamental importance in many signal processing applications. The authors are concerned with deconvolution to extract impulse responses of materials tested in ultrasonic nondestructive testing (NDT). The impulse responses can provide vital information about the flaws and material properties. Several deconvolution techniques including Wiener filtering in three versions, the spiking filter, time domain deconvolution, L1 norm deconvolution, and others are examined and critical comparisons are made for the ultrasonic NDT data.<>

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

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

自引率

0.00%

发文量