{"id":"https://openalex.org/W2973000378","doi":"https://doi.org/10.1109/i2mtc.2019.8826933","title":"A New F-PCASVD based Multivariate Denoising Algorithm for FID Transversal Data","display_name":"A New F-PCASVD based Multivariate Denoising Algorithm for FID Transversal Data","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2973000378","doi":"https://doi.org/10.1109/i2mtc.2019.8826933","mag":"2973000378"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2019.8826933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8826933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100338912","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0001-9316-4749"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["School of Engineering, University of British Columbia Okanagan, BC, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of British Columbia Okanagan, BC, Kelowna, Canada","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059554395","display_name":"Haobin Dong","orcid":"https://orcid.org/0000-0002-2103-5515"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobin Dong","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060506527","display_name":"Jian Ge","orcid":"https://orcid.org/0000-0001-7211-7337"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Ge","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109438962","display_name":"Zheng Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]},{"id":"https://openalex.org/I4405260628","display_name":"University of British Columbia, Okanagan Campus","ror":"https://ror.org/04241wz75","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["School of Engineering, University of British Columbia Okanagan, BC, Kelowna, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of British Columbia Okanagan, BC, Kelowna, Canada","institution_ids":["https://openalex.org/I141945490","https://openalex.org/I4405260628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044417160","display_name":"Hengli Song","orcid":"https://orcid.org/0000-0003-0290-9464"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengli Song","raw_affiliation_strings":["School of Automation, China University of Geosciences, Hubei, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, China University of Geosciences, Hubei, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032583055","display_name":"Zhiwen Yuan","orcid":"https://orcid.org/0000-0002-5604-0015"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yuan","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686239","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0001-7209-1050"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392409","display_name":"Haiyang Zhang","orcid":"https://orcid.org/0000-0002-3025-9609"},"institutions":[{"id":"https://openalex.org/I4210140031","display_name":"Science and Technology on Surface Physics and Chemistry Laboratory","ror":"https://ror.org/0543q7s13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210140031"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Zhang","raw_affiliation_strings":["Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Near-Surface Detection Laboratory, Jiangsu, Wuxi, China","institution_ids":["https://openalex.org/I4210140031"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25490485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9907000064849854,"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/T12424","display_name":"Earthquake Detection and Analysis","score":0.9907000064849854,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.765625},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7493411302566528},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6877557635307312},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6765706539154053},{"id":"https://openalex.org/keywords/transversal","display_name":"Transversal (combinatorics)","score":0.6436716914176941},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6245209574699402},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5157952308654785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4710022509098053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4008856415748596},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3537815809249878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2546217441558838},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1953878402709961}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.765625},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7493411302566528},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6877557635307312},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6765706539154053},{"id":"https://openalex.org/C2780130068","wikidata":"https://www.wikidata.org/wiki/Q2208651","display_name":"Transversal (combinatorics)","level":2,"score":0.6436716914176941},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6245209574699402},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5157952308654785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4710022509098053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4008856415748596},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3537815809249878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2546217441558838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1953878402709961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2019.8826933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8826933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1216619894","https://openalex.org/W1538635073","https://openalex.org/W1640342349","https://openalex.org/W1772660951","https://openalex.org/W1977612780","https://openalex.org/W1984844214","https://openalex.org/W2003094610","https://openalex.org/W2013590534","https://openalex.org/W2061459389","https://openalex.org/W2072409296","https://openalex.org/W2100405727","https://openalex.org/W2103089564","https://openalex.org/W2118934859","https://openalex.org/W2122844270","https://openalex.org/W2173474569","https://openalex.org/W2217442075","https://openalex.org/W2284253967","https://openalex.org/W2292156732","https://openalex.org/W2293264067","https://openalex.org/W2296764807","https://openalex.org/W2507141033","https://openalex.org/W2509183753","https://openalex.org/W2578298220","https://openalex.org/W2737279297","https://openalex.org/W2905154773","https://openalex.org/W2908085908","https://openalex.org/W2943899430","https://openalex.org/W4214673677"],"related_works":["https://openalex.org/W2271112932","https://openalex.org/W2772332644","https://openalex.org/W1850829540","https://openalex.org/W1969626693","https://openalex.org/W4390647510","https://openalex.org/W4251387394","https://openalex.org/W2897654805","https://openalex.org/W3144250209","https://openalex.org/W2114204451","https://openalex.org/W1969942975"],"abstract_inverted_index":{"The":[0,221],"free":[1],"induction":[2],"decay":[3],"(FID)":[4],"transversal":[5,105,219],"data":[6,193],"determines":[7],"the":[8,16,46,74,101,108,115,120,125,148,161,167,173,188,195,206],"measurement":[9],"accuracy":[10],"of":[11,18,23,32,76,103,119,124,135,144,190],"time-dependent":[12],"geomagnetic":[13],"fields,":[14],"whereas":[15],"conservation":[17],"clean":[19],"components":[20,118],"and":[21,81,122,165,194,216],"removal":[22],"noise":[24,59,96,126,168,232],"cannot":[25],"be":[26,42,138],"easily":[27],"achieved":[28],"for":[29],"this":[30,225],"kind":[31],"data.":[33,106,220],"Even":[34],"though":[35],"numerous":[36],"techniques":[37],"have":[38],"been":[39],"proven":[40],"to":[41,56,94,113,160,177,182],"effective":[43],"in":[44,130,231],"improving":[45],"signal-to-noise":[47],"ratio":[48],"(SNR)":[49],"by":[50,128,171],"filtering":[51],"out":[52],"frequency":[53],"bands,":[54],"how":[55],"efficiently":[57],"reduce":[58,95],"is":[60,111],"still":[61],"a":[62,68,141,228],"crucial":[63],"issue.":[64],"To":[65],"end":[66],"this,":[67],"new":[69],"multivariate":[70],"algorithm":[71,92,110,202],"based":[72],"on":[73,214],"fusion":[75],"principal":[77,117],"component":[78],"analysis":[79],"(PCA)":[80],"singular":[82,157,175],"value":[83],"decomposition":[84],"(SVD),":[85],"namely":[86],"F-PCASVD,":[87],"was":[88,150,169,180,203],"presented.":[89],"This":[90],"novel":[91],"aims":[93],"as":[97,99],"well":[98],"cancel":[100],"interference":[102],"FID":[104,121,192,218],"Specifically,":[107],"F-PCASVD":[109],"able":[112,181],"obtain":[114],"dominant":[116],"that":[123,224],"floor":[127],"PCA,":[129],"which":[131,179],"an":[132,153,184],"optimal":[133],"number":[134],"subspaces":[136],"could":[137],"retained":[139],"via":[140,211],"cumulative":[142],"percent":[143],"variance":[145],"criterion.":[146],"Furthermore,":[147],"PCA":[149],"combined":[151],"with":[152,205],"SVD":[154],"filter":[155,209],"whose":[156],"values":[158,176],"corresponding":[159,174],"interferences":[162],"were":[163],"identified,":[164],"then":[166],"suppressed":[170],"nulling":[172],"zero,":[178],"achieve":[183],"optimum":[185],"trade-off":[186],"between":[187],"preservation":[189],"pure":[191],"denoising":[196],"efficiency.":[197],"Our":[198],"proposed":[199],"F-":[200],"PCASVD":[201],"compared":[204],"widely":[207],"used":[208],"methods":[210],"extensive":[212],"experiments":[213],"synthetic":[215],"real":[217],"results":[222],"demonstrated":[223],"method":[226],"shows":[227],"significant":[229],"improvement":[230],"suppression.":[233]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}