Acoustic imaging of layered media.
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| Title: | Acoustic imaging of layered media. |
|---|---|
| Authors: | Gibson, Peter C.1 |
| Source: | Journal of Computational Physics. Nov2018, Vol. 372, p524-545. 22p. |
| Subjects: | Acoustic imaging, Layers (Computer graphics), One-dimensional flow, Wave equation, Impedance audiometry, Inverse problems, Orthogonal polynomials |
| Abstract: | This paper presents the echoes-to-impedance transform, a nonlinear transform designed for acoustic imaging of layered media—for example, sedimentary geological formations, biological tissue such as skin, or laminated structures in the built environment. The transform converts time domain digital reflection data directly into impedance as a function of spatial location, using minimal prior information about the source wavelet and no prepreprocessing. It is simple, fast, and, according to numerical experiments, highly accurate. More than this, physical structure is superresolved at a finer scale than that of the source wavelet. The derivation of the echoes-to-impedance transform stems from a recently developed numerical method for wave propagation in one dimension in conjunction with the theory of orthogonal polynomials on the unit circle. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 131451923 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Acoustic imaging of layered media. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gibson%2C+Peter+C%2E%22">Gibson, Peter C.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Physics%22">Journal of Computational Physics</searchLink>. Nov2018, Vol. 372, p524-545. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Acoustic+imaging%22">Acoustic imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Layers+%28Computer+graphics%29%22">Layers (Computer graphics)</searchLink><br /><searchLink fieldCode="DE" term="%22One-dimensional+flow%22">One-dimensional flow</searchLink><br /><searchLink fieldCode="DE" term="%22Wave+equation%22">Wave equation</searchLink><br /><searchLink fieldCode="DE" term="%22Impedance+audiometry%22">Impedance audiometry</searchLink><br /><searchLink fieldCode="DE" term="%22Inverse+problems%22">Inverse problems</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+polynomials%22">Orthogonal polynomials</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the echoes-to-impedance transform, a nonlinear transform designed for acoustic imaging of layered media—for example, sedimentary geological formations, biological tissue such as skin, or laminated structures in the built environment. The transform converts time domain digital reflection data directly into impedance as a function of spatial location, using minimal prior information about the source wavelet and no prepreprocessing. It is simple, fast, and, according to numerical experiments, highly accurate. More than this, physical structure is superresolved at a finer scale than that of the source wavelet. The derivation of the echoes-to-impedance transform stems from a recently developed numerical method for wave propagation in one dimension in conjunction with the theory of orthogonal polynomials on the unit circle. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computational Physics is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jcp.2018.06.053 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 524 Subjects: – SubjectFull: Acoustic imaging Type: general – SubjectFull: Layers (Computer graphics) Type: general – SubjectFull: One-dimensional flow Type: general – SubjectFull: Wave equation Type: general – SubjectFull: Impedance audiometry Type: general – SubjectFull: Inverse problems Type: general – SubjectFull: Orthogonal polynomials Type: general Titles: – TitleFull: Acoustic imaging of layered media. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gibson, Peter C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 00219991 Numbering: – Type: volume Value: 372 Titles: – TitleFull: Journal of Computational Physics Type: main |
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