VLSI architecture of defect feature extraction based on wavelet packet in ultrasonic nondestructive test

Li Shoushan, Zhang Tongjun, Bi Lijun, Tao Anli
{"title":"VLSI architecture of defect feature extraction based on wavelet packet in ultrasonic nondestructive test","authors":"Li Shoushan, Zhang Tongjun, Bi Lijun, Tao Anli","doi":"10.1109/ICSPS.2010.5555597","DOIUrl":null,"url":null,"abstract":"This paper aims at the construction of VLSI architecture of defect extraction based on wavelet packet decomposition. The wavelet packet decomposition for defect feature extraction of ultrasonic signal in nondestructive test is discussed. Based on the features being extracted from decomposed coefficients at different scales and levels, the frame of defect feature extraction is confirmed. The VLSI architectures of wavelet packet decomposition and feature extraction algorithms are configured. The architectures are implemented in FPGA. According to the implementations in FPGAs and experiments to defects classification, the VLSI architecture of defect feature extraction provides a practical and effective solution to real-time embedded reconfigurable ultrasonic signal processing applications.","PeriodicalId":234084,"journal":{"name":"2010 2nd International Conference on Signal Processing Systems","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPS.2010.5555597","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper aims at the construction of VLSI architecture of defect extraction based on wavelet packet decomposition. The wavelet packet decomposition for defect feature extraction of ultrasonic signal in nondestructive test is discussed. Based on the features being extracted from decomposed coefficients at different scales and levels, the frame of defect feature extraction is confirmed. The VLSI architectures of wavelet packet decomposition and feature extraction algorithms are configured. The architectures are implemented in FPGA. According to the implementations in FPGAs and experiments to defects classification, the VLSI architecture of defect feature extraction provides a practical and effective solution to real-time embedded reconfigurable ultrasonic signal processing applications.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于小波包的超声无损检测缺陷特征提取VLSI结构
本文旨在构建基于小波包分解的超大规模集成电路缺陷提取体系结构。讨论了无损检测中超声信号缺陷特征提取的小波包分解方法。根据分解系数在不同尺度和层次上提取的特征,确定缺陷特征提取的框架。配置了小波包分解和特征提取算法的VLSI体系结构。该体系结构在FPGA中实现。通过fpga的实现和缺陷分类实验,表明缺陷特征提取的VLSI架构为实时嵌入式可重构超声信号处理应用提供了一种实用有效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Cover page Simulation and character recognition for Plate Marking Machine Syllable segmentation of Telugu document images The characteristics and identification of “oil bright spot” in Chepaizi A general two-dimensional spectrum based on polynomial range model for medium-earth-orbit Synthetic Aperture Radar signal processing
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1