Improvement of the Resolution Ratio of the Seismic Record by Balanced Biorthogonal Multi-wavelet Transform
This paper discusses an attempt to improve the resolution of a seismic record by using balanced biorthogonal multi-wavelet transform. Wavelet transform offers a lot of local information of seismic signals relevant to time, space, frequency and wave number. Compensation for the loss of high frequency...
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| Veröffentlicht in: | Computational and Information Science 2004-01, p.379-384 |
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| creator | He, Wenzhang Wu, Aidi Song, Guoxiang |
| description | This paper discusses an attempt to improve the resolution of a seismic record by using balanced biorthogonal multi-wavelet transform. Wavelet transform offers a lot of local information of seismic signals relevant to time, space, frequency and wave number. Compensation for the loss of high frequency information allows an improvement of the resolution ratio of the seismic record. Numerical results show that the suggested method has several advantages over single wavelet in feasibility and effectiveness and the practice shows some satisfactory results. |
| doi_str_mv | 10.1007/978-3-540-30497-5_59 |
| format | Article |
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Wavelet transform offers a lot of local information of seismic signals relevant to time, space, frequency and wave number. Compensation for the loss of high frequency information allows an improvement of the resolution ratio of the seismic record. Numerical results show that the suggested method has several advantages over single wavelet in feasibility and effectiveness and the practice shows some satisfactory results.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540241270</identifier><identifier>ISBN: 3540241272</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540304975</identifier><identifier>EISBN: 9783540304975</identifier><identifier>DOI: 10.1007/978-3-540-30497-5_59</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Earth sciences ; Earth, ocean, space ; Earthquakes, seismology ; Exact sciences and technology ; Internal geophysics ; Pattern recognition. Digital image processing. 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Wavelet transform offers a lot of local information of seismic signals relevant to time, space, frequency and wave number. Compensation for the loss of high frequency information allows an improvement of the resolution ratio of the seismic record. Numerical results show that the suggested method has several advantages over single wavelet in feasibility and effectiveness and the practice shows some satisfactory results.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Earthquakes, seismology</subject><subject>Exact sciences and technology</subject><subject>Internal geophysics</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Resolution Ratio</subject><subject>Seismic Data</subject><subject>Seismic Record</subject><subject>Seismic Section</subject><subject>Seismic Signal</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540241270</isbn><isbn>3540241272</isbn><isbn>3540304975</isbn><isbn>9783540304975</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNo1kMtOAjEUhustEZE3cNGNy2qvU2YpxAsJxgRx3XQ6LQzOTCftgOHtLaBnc5L_-3NO8gFwR_ADwVg-5nKMGBIcI4Z5LpFQIj8DNywlx0CcgwHJCEGM8fwCjFL_wCgnVOJLMEgtinLJ2TUYxbjBaRIRnA_AZtZ0we9sY9seegf7tYULG3297SvfwoVO6z__tFVsKpO48aGExR5OdK1bY0s4qXzo137lW13D923dV-hH72xte7gMuo3Oh-YWXDldRzv620Pw9fK8nL6h-cfrbPo0Rx2l4x5lTupCEilKaqTlxHBHpSHcWqwzQil34zyTmdAUF5iXXJcuRZYyTYm2hrIhuD_d7XQ0unbpv6mi6kLV6LBXJBOUSS5Sj556MaF2ZYMqvP-OimB1sK6SRcVU8qiOktXBOvsFk45xTA</recordid><startdate>20040101</startdate><enddate>20040101</enddate><creator>He, Wenzhang</creator><creator>Wu, Aidi</creator><creator>Song, Guoxiang</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>20040101</creationdate><title>Improvement of the Resolution Ratio of the Seismic Record by Balanced Biorthogonal Multi-wavelet Transform</title><author>He, Wenzhang ; Wu, Aidi ; Song, Guoxiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p228t-6f7ab7175d2c7e41c4f27c14ee0a61224f896765a20b04d4adf4f8e23a21aec23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Earthquakes, seismology</topic><topic>Exact sciences and technology</topic><topic>Internal geophysics</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Resolution Ratio</topic><topic>Seismic Data</topic><topic>Seismic Record</topic><topic>Seismic Section</topic><topic>Seismic Signal</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Wenzhang</creatorcontrib><creatorcontrib>Wu, Aidi</creatorcontrib><creatorcontrib>Song, Guoxiang</creatorcontrib><collection>Pascal-Francis</collection><jtitle>Computational and Information Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Wenzhang</au><au>Wu, Aidi</au><au>Song, Guoxiang</au><au>He, Ji-Huan</au><au>Fu, Yuxi</au><au>Zhang, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improvement of the Resolution Ratio of the Seismic Record by Balanced Biorthogonal Multi-wavelet Transform</atitle><jtitle>Computational and Information Science</jtitle><date>2004-01-01</date><risdate>2004</risdate><spage>379</spage><epage>384</epage><pages>379-384</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540241270</isbn><isbn>3540241272</isbn><eisbn>3540304975</eisbn><eisbn>9783540304975</eisbn><abstract>This paper discusses an attempt to improve the resolution of a seismic record by using balanced biorthogonal multi-wavelet transform. Wavelet transform offers a lot of local information of seismic signals relevant to time, space, frequency and wave number. Compensation for the loss of high frequency information allows an improvement of the resolution ratio of the seismic record. Numerical results show that the suggested method has several advantages over single wavelet in feasibility and effectiveness and the practice shows some satisfactory results.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/978-3-540-30497-5_59</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer science control theory systems Earth sciences Earth, ocean, space Earthquakes, seismology Exact sciences and technology Internal geophysics Pattern recognition. Digital image processing. Computational geometry Resolution Ratio Seismic Data Seismic Record Seismic Section Seismic Signal |
| title | Improvement of the Resolution Ratio of the Seismic Record by Balanced Biorthogonal Multi-wavelet Transform |
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