Sparse deconvolution of ultrasonic NDE traces-a preliminary study
The paper deals with the problem of deconvolving sparse ultrasonic NDE traces with time-varying pulses. A sparse dictionary learning algorithm is utilized to learn a time-varying pulse matrix. Each element of the matrix represents an individual pattern of possible local impulse responses. An ultraso...
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| creator | Guang-Ming Zhang Harvey, D.M. Braden, D.R. |
| description | The paper deals with the problem of deconvolving sparse ultrasonic NDE traces with time-varying pulses. A sparse dictionary learning algorithm is utilized to learn a time-varying pulse matrix. Each element of the matrix represents an individual pattern of possible local impulse responses. An ultrasonic signal is then decomposed into a sparse representation by the sparse Bayesian learning algorithm over the learned pulse matrix. The reflectivity sequence is finally estimated from the resulting sparse representation. The proposed method has been tested using NDE data taken from automotive thick film hybrid circuit boards. |
| doi_str_mv | 10.1109/ULTSYM.2008.0043 |
| format | Conference Proceeding |
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The proposed method has been tested using NDE data taken from automotive thick film hybrid circuit boards.</description><subject>Automotive engineering</subject><subject>Bayesian methods</subject><subject>Circuit testing</subject><subject>Deconvolution</subject><subject>Dictionaries</subject><subject>Matrix decomposition</subject><subject>Reflectivity</subject><subject>Sparse matrices</subject><subject>sparse reflectivity sequence</subject><subject>sparse signal representation</subject><subject>Thick films</subject><subject>time-varying pulse estimation</subject><subject>Transmission line matrix methods</subject><subject>ultrasound</subject><issn>1051-0117</issn><isbn>1424424283</isbn><isbn>9781424424283</isbn><isbn>1424424801</isbn><isbn>9781424424801</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j01Lw0AURUe0YFvdC27mDyS-NzPJTJaltipEXbRduCqT-YCRNAmZROi_N6IIFy5nczmXkDuEFBGKh0O53328pgxApQCCX5AFCiamKMDLf2CKX5E5QoYJIMoZmUue5AIF5NdkEeMnAIOMiTlZ7TrdR0etM23z1dbjENqGtp6O9dDr2DbB0LfHDZ3AuJho2vWuDqfQ6P5M4zDa8w2ZeV1Hd_vXS3LYbvbr56R8f3pZr8okoMyGRFjumEJvlPHKcSO9LnKpOJeaM8W8KwqvK1VZNFleWF_96ObOyAylllbxJbn_3Q3OuWPXh9OkcJx-c8YK_g1Jlk30</recordid><startdate>200811</startdate><enddate>200811</enddate><creator>Guang-Ming Zhang</creator><creator>Harvey, D.M.</creator><creator>Braden, D.R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200811</creationdate><title>Sparse deconvolution of ultrasonic NDE traces-a preliminary study</title><author>Guang-Ming Zhang ; Harvey, D.M. ; Braden, D.R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-4d3e281fc8cf8e3c7fa9678337a3282fe99fab8bd1c569dfb64146ec7517a7d83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Automotive engineering</topic><topic>Bayesian methods</topic><topic>Circuit testing</topic><topic>Deconvolution</topic><topic>Dictionaries</topic><topic>Matrix decomposition</topic><topic>Reflectivity</topic><topic>Sparse matrices</topic><topic>sparse reflectivity sequence</topic><topic>sparse signal representation</topic><topic>Thick films</topic><topic>time-varying pulse estimation</topic><topic>Transmission line matrix methods</topic><topic>ultrasound</topic><toplevel>online_resources</toplevel><creatorcontrib>Guang-Ming Zhang</creatorcontrib><creatorcontrib>Harvey, D.M.</creatorcontrib><creatorcontrib>Braden, D.R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guang-Ming Zhang</au><au>Harvey, D.M.</au><au>Braden, D.R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Sparse deconvolution of ultrasonic NDE traces-a preliminary study</atitle><btitle>2008 IEEE Ultrasonics Symposium</btitle><stitle>ULTSYM</stitle><date>2008-11</date><risdate>2008</risdate><spage>176</spage><epage>179</epage><pages>176-179</pages><issn>1051-0117</issn><isbn>1424424283</isbn><isbn>9781424424283</isbn><eisbn>1424424801</eisbn><eisbn>9781424424801</eisbn><abstract>The paper deals with the problem of deconvolving sparse ultrasonic NDE traces with time-varying pulses. A sparse dictionary learning algorithm is utilized to learn a time-varying pulse matrix. Each element of the matrix represents an individual pattern of possible local impulse responses. An ultrasonic signal is then decomposed into a sparse representation by the sparse Bayesian learning algorithm over the learned pulse matrix. The reflectivity sequence is finally estimated from the resulting sparse representation. The proposed method has been tested using NDE data taken from automotive thick film hybrid circuit boards.</abstract><pub>IEEE</pub><doi>10.1109/ULTSYM.2008.0043</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2008 IEEE Ultrasonics Symposium, 2008, p.176-179 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automotive engineering Bayesian methods Circuit testing Deconvolution Dictionaries Matrix decomposition Reflectivity Sparse matrices sparse reflectivity sequence sparse signal representation Thick films time-varying pulse estimation Transmission line matrix methods ultrasound |
| title | Sparse deconvolution of ultrasonic NDE traces-a preliminary study |
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