Material discrimination using bispectral signatures
One goal of investigative signal processing techniques is to discriminate between types of materials composing an object. This paper explores a method for material discrimination and characterization using bispectral signatures acquired from an object actively probed with acoustic pulses. The mathem...
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Veröffentlicht in: | The Journal of the Acoustical Society of America 2004-09, Vol.116 (3), p.1518-1523 |
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container_title | The Journal of the Acoustical Society of America |
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creator | NYFFENEGGER, Paul A HINICH, Melvin J RITTER, Dillon HANSEN, Stephen |
description | One goal of investigative signal processing techniques is to discriminate between types of materials composing an object. This paper explores a method for material discrimination and characterization using bispectral signatures acquired from an object actively probed with acoustic pulses. The mathematical foundations of the bispectrum are presented, and the proposed technique is tested with an ultrasonic apparatus. Results indicate that at ultrasonic frequencies this technique provides signatures with the potential of discriminating between classes of materials such as plastic, aluminum, and rock. |
doi_str_mv | 10.1121/1.1780169 |
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This paper explores a method for material discrimination and characterization using bispectral signatures acquired from an object actively probed with acoustic pulses. The mathematical foundations of the bispectrum are presented, and the proposed technique is tested with an ultrasonic apparatus. Results indicate that at ultrasonic frequencies this technique provides signatures with the potential of discriminating between classes of materials such as plastic, aluminum, and rock.</description><identifier>ISSN: 0001-4966</identifier><identifier>EISSN: 1520-8524</identifier><identifier>DOI: 10.1121/1.1780169</identifier><identifier>CODEN: JASMAN</identifier><language>eng</language><publisher>Woodbury, NY: Acoustical Society of America</publisher><subject>Acoustic signal processing ; Acoustics ; Exact sciences and technology ; Fundamental areas of phenomenology (including applications) ; Physics</subject><ispartof>The Journal of the Acoustical Society of America, 2004-09, Vol.116 (3), p.1518-1523</ispartof><rights>2004 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c257t-a48996c2247ac71d6526e9794e4367f7602cef98f24abe422bbbaa5213308ae73</citedby><cites>FETCH-LOGICAL-c257t-a48996c2247ac71d6526e9794e4367f7602cef98f24abe422bbbaa5213308ae73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>207,208,314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16120154$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>NYFFENEGGER, Paul A</creatorcontrib><creatorcontrib>HINICH, Melvin J</creatorcontrib><creatorcontrib>RITTER, Dillon</creatorcontrib><creatorcontrib>HANSEN, Stephen</creatorcontrib><title>Material discrimination using bispectral signatures</title><title>The Journal of the Acoustical Society of America</title><description>One goal of investigative signal processing techniques is to discriminate between types of materials composing an object. 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This paper explores a method for material discrimination and characterization using bispectral signatures acquired from an object actively probed with acoustic pulses. The mathematical foundations of the bispectrum are presented, and the proposed technique is tested with an ultrasonic apparatus. Results indicate that at ultrasonic frequencies this technique provides signatures with the potential of discriminating between classes of materials such as plastic, aluminum, and rock.</abstract><cop>Woodbury, NY</cop><pub>Acoustical Society of America</pub><doi>10.1121/1.1780169</doi><tpages>6</tpages></addata></record> |
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subjects | Acoustic signal processing Acoustics Exact sciences and technology Fundamental areas of phenomenology (including applications) Physics |
title | Material discrimination using bispectral signatures |
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