{"id":"https://openalex.org/W2966991934","doi":"https://doi.org/10.1109/lgrs.2019.2930583","title":"Seismic Time\u2013Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform","display_name":"Seismic Time\u2013Frequency Analysis via Adaptive Mode Separation-Based Wavelet Transform","publication_year":2019,"publication_date":"2019-08-09","ids":{"openalex":"https://openalex.org/W2966991934","doi":"https://doi.org/10.1109/lgrs.2019.2930583","mag":"2966991934"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2930583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2930583","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024397951","display_name":"Fangyu Li","orcid":"https://orcid.org/0000-0003-2340-3622"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fangyu Li","raw_affiliation_strings":["College of Engineering, University of Georgia, Athens, USA"],"raw_orcid":"https://orcid.org/0000-0003-2340-3622","affiliations":[{"raw_affiliation_string":"College of Engineering, University of Georgia, Athens, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005327204","display_name":"Bangyu Wu","orcid":"https://orcid.org/0000-0001-9998-9071"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bangyu Wu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-9998-9071","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000850153","display_name":"Naihao Liu","orcid":"https://orcid.org/0000-0002-2609-7408"},"institutions":[{"id":"https://openalex.org/I158108717","display_name":"China National Offshore Oil Corporation (China)","ror":"https://ror.org/054dq0621","country_code":"CN","type":"company","lineage":["https://openalex.org/I158108717"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naihao Liu","raw_affiliation_strings":["National Engineering Laboratory for Offshore Oil Exploration, Xi\u2019an, China","School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","National Engineering Laboratory for Offshore Oil Exploration, Xi'an, China","School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2609-7408","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, Xi\u2019an, China","institution_ids":["https://openalex.org/I158108717"]},{"raw_affiliation_string":"School of Information and Communications Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"National Engineering Laboratory for Offshore Oil Exploration, Xi'an, China","institution_ids":["https://openalex.org/I158108717"]},{"raw_affiliation_string":"School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041525637","display_name":"Ying Hu","orcid":"https://orcid.org/0000-0002-8856-0912"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Hu","raw_affiliation_strings":["Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8856-0912","affiliations":[{"raw_affiliation_string":"Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077172624","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0001-9550-4188"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]},{"id":"https://openalex.org/I4210152482","display_name":"Geological Survey of Alabama","ror":"https://ror.org/05w3mye26","country_code":"US","type":"government","lineage":["https://openalex.org/I4210152482"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Department of Geological Sciences, University of Alabama, Tuscaloosa, USA"],"raw_orcid":"https://orcid.org/0000-0001-9550-4188","affiliations":[{"raw_affiliation_string":"Department of Geological Sciences, University of Alabama, Tuscaloosa, USA","institution_ids":["https://openalex.org/I4210152482","https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024397951"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":null,"apc_paid":null,"fwci":3.4994,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.92479747,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"4","first_page":"696","last_page":"700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.7168701887130737},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7111005187034607},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.705985963344574},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.5810393691062927},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5791577696800232},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5614961385726929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.544019877910614},{"id":"https://openalex.org/keywords/harmonic-wavelet-transform","display_name":"Harmonic wavelet transform","score":0.5413506031036377},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5159717202186584},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.5128731727600098},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4923340082168579},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.48378416895866394},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.4658810496330261},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4657740294933319},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4417494535446167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40397757291793823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20613408088684082}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7168701887130737},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7111005187034607},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.705985963344574},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5810393691062927},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5791577696800232},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5614961385726929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544019877910614},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.5413506031036377},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5159717202186584},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.5128731727600098},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4923340082168579},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.48378416895866394},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4658810496330261},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4657740294933319},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4417494535446167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40397757291793823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20613408088684082},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2019.2930583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2930583","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G139359376","display_name":null,"funder_award_id":"xjj2018260","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2934040547","display_name":null,"funder_award_id":"2016M600780","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3302405288","display_name":null,"funder_award_id":"41704132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3929414679","display_name":null,"funder_award_id":"BX201900279","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"},{"id":"https://openalex.org/G6939695061","display_name":null,"funder_award_id":"2019M653584","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7725184015","display_name":null,"funder_award_id":"xxj022019006","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8712884264","display_name":null,"funder_award_id":"xjh012019030","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1506049832","https://openalex.org/W1546509353","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2017821362","https://openalex.org/W2019900743","https://openalex.org/W2020997493","https://openalex.org/W2057624533","https://openalex.org/W2108153523","https://openalex.org/W2122971356","https://openalex.org/W2158824661","https://openalex.org/W2245188166","https://openalex.org/W2339160382","https://openalex.org/W2550716713","https://openalex.org/W2592997098","https://openalex.org/W2735529954","https://openalex.org/W2738609385","https://openalex.org/W2744000381","https://openalex.org/W2774063243","https://openalex.org/W2791363971","https://openalex.org/W2902867040","https://openalex.org/W2940889378","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2386482837","https://openalex.org/W2355889335","https://openalex.org/W2023142747","https://openalex.org/W2085792030","https://openalex.org/W2019515987","https://openalex.org/W2025989299","https://openalex.org/W2101997086","https://openalex.org/W4205424440"],"abstract_inverted_index":{"To":[0,83],"better":[1],"reveal":[2],"time-varying":[3],"spectral":[4,36,70],"components":[5],"of":[6,87],"nonstationary":[7],"seismic":[8,18,29],"signals,":[9],"time-frequency":[10,56],"analysis":[11],"(TFA)":[12],"has":[13,79],"been":[14,80],"widely":[15],"applied":[16],"in":[17,131],"processing":[19],"and":[20,39,98,118,128],"analysis.":[21],"In":[22,58],"this":[23],"letter,":[24],"we":[25,92],"propose":[26],"an":[27,34,40],"advanced":[28],"TFA":[30],"method":[31],"based":[32],"on":[33,67,95],"optimal":[35],"mode":[37,48,111,115],"separation":[38],"adaptive":[41,47],"wavelet":[42,50,62,107,120],"bank":[43,63],"design.":[44],"The":[45],"proposed":[46,89],"separation-based":[49],"transform":[51,108,121],"(AMSWT)":[52],"generates":[53],"a":[54,125],"superior":[55],"resolution.":[57],"addition,":[59],"because":[60],"the":[61,68,72,85,88,103],"is":[64],"adaptively":[65],"built":[66],"intrinsic":[69],"modes,":[71],"ability":[73],"to":[74],"accurately":[75],"characterize":[76],"geophysical":[77],"structures":[78],"significantly":[81],"improved.":[82],"demonstrate":[84],"effectiveness":[86],"AMSWT":[90,123],"method,":[91],"apply":[93],"it":[94],"both":[96],"synthetic":[97],"field":[99],"data.":[100],"Compared":[101],"with":[102],"results":[104],"from":[105],"continuous":[106],"(CWT),":[109],"empirical":[110,119],"decomposition":[112,116],"(EMD),":[113],"variational":[114],"(VMD),":[117],"(EWT),":[122],"provides":[124],"higher":[126],"resolution":[127],"offers":[129],"potentials":[130],"precisely":[132],"highlighting":[133],"stratigraphy":[134],"boundaries.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
