{"id":"https://openalex.org/W3133684664","doi":"https://doi.org/10.1109/tsp.2021.3064984","title":"Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks","display_name":"Theory and Design of Joint Time-Vertex Nonsubsampled Filter Banks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3133684664","doi":"https://doi.org/10.1109/tsp.2021.3064984","mag":"3133684664"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2021.3064984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3064984","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Theory_and_Design_of_Joint_Time-Vertex_Nonsubsampled_Filter_Banks/20672106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036506457","display_name":"Junzheng Jiang","orcid":"https://orcid.org/0000-0002-3767-8216"},"institutions":[{"id":"https://openalex.org/I4210100278","display_name":"Beijing Satellite Navigation Center","ror":"https://ror.org/0188rvx33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210100278"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzheng Jiang","raw_affiliation_strings":["National and Local Joint Engineering Research Center of Satellite Navigation Positioning and Location Service, Guilin, China","School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0002-3767-8216","affiliations":[{"raw_affiliation_string":"National and Local Joint Engineering Research Center of Satellite Navigation Positioning and Location Service, Guilin, China","institution_ids":["https://openalex.org/I4210100278"]},{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044671853","display_name":"Hairong Feng","orcid":"https://orcid.org/0000-0003-0094-5795"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hairong Feng","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"],"raw_orcid":"https://orcid.org/0000-0003-0094-5795","affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074687233","display_name":"D.B.H. Tay","orcid":"https://orcid.org/0000-0001-5285-7426"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David B. Tay","raw_affiliation_strings":["School of Information Technology, Deakin University, Waurn Ponds, Victoria, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5285-7426","affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Waurn Ponds, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072219013","display_name":"Shuwen Xu","orcid":"https://orcid.org/0000-0002-3557-5897"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuwen Xu","raw_affiliation_strings":["National Lab of Radar Signal Processing, Xidian University, Xi\u2019an, China","National Lab of Radar Signal Processing, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3557-5897","affiliations":[{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"National Lab of Radar Signal Processing, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.724,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91475127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"69","issue":null,"first_page":"1968","last_page":"1982"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9380999803543091,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/filter-bank","display_name":"Filter bank","score":0.7465008497238159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636795699596405},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.5497111678123474},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4919891059398651},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44984009861946106},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4392366111278534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4304257929325104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4273064136505127},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4139920771121979},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35139235854148865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18824118375778198},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.13886591792106628},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.0789540708065033}],"concepts":[{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.7465008497238159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636795699596405},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.5497111678123474},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4919891059398651},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44984009861946106},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4392366111278534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4304257929325104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4273064136505127},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4139920771121979},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35139235854148865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18824118375778198},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.13886591792106628},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0789540708065033}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2021.3064984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2021.3064984","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30149803","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20672106","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Theory_and_Design_of_Joint_Time-Vertex_Nonsubsampled_Filter_Banks/20672106","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20672106","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Theory_and_Design_of_Joint_Time-Vertex_Nonsubsampled_Filter_Banks/20672106","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5905905807","display_name":"\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u6d77\u6742\u6ce2\u7279\u6027\u611f\u77e5\u548c\u76ee\u6807\u7279\u5f81\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G73447190","display_name":null,"funder_award_id":"61761011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1497214886","https://openalex.org/W1501565421","https://openalex.org/W1698699930","https://openalex.org/W1937201840","https://openalex.org/W1971368490","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W1999870684","https://openalex.org/W2004559848","https://openalex.org/W2024496749","https://openalex.org/W2027579212","https://openalex.org/W2049220509","https://openalex.org/W2101491865","https://openalex.org/W2137798130","https://openalex.org/W2188492872","https://openalex.org/W2241250559","https://openalex.org/W2247102326","https://openalex.org/W2300979919","https://openalex.org/W2465872592","https://openalex.org/W2521050763","https://openalex.org/W2610174843","https://openalex.org/W2610267922","https://openalex.org/W2616297073","https://openalex.org/W2734408317","https://openalex.org/W2781888589","https://openalex.org/W2885104635","https://openalex.org/W2949126699","https://openalex.org/W2958758905","https://openalex.org/W2962802415","https://openalex.org/W2962924264","https://openalex.org/W2963479151","https://openalex.org/W2963728452","https://openalex.org/W3006768206","https://openalex.org/W3105622694","https://openalex.org/W6687190188"],"related_works":["https://openalex.org/W2167307094","https://openalex.org/W1551719041","https://openalex.org/W2118799423","https://openalex.org/W997673828","https://openalex.org/W4205364631","https://openalex.org/W4388117850","https://openalex.org/W2354812741","https://openalex.org/W2096998134","https://openalex.org/W2575993598","https://openalex.org/W1141889541"],"abstract_inverted_index":{"Graph":[0],"signal":[1,199],"processing":[2,180],"(GSP)":[3],"is":[4,25,127],"a":[5,94,135],"field":[6],"that":[7,128],"deals":[8],"with":[9,108,115],"data":[10],"residing":[11],"on":[12,49,54],"irregular":[13],"domains,":[14],"i.e.":[15],"graph":[16,22,41,50,56,97,198],"signals.":[17,42,57],"In":[18,78,152],"this":[19,79],"field,":[20],"the":[21,28,46,63,81,105,123,156,161,188,191,203],"filter":[23,51,89,106,125,169,208],"bank":[24,52,90,107,126,209],"one":[26],"of":[27,40,45,66,85,122,143,163,173,190,205],"most":[29,44],"important":[30],"developments,":[31],"owing":[32],"to":[33,36,103],"its":[34],"ability":[35],"provide":[37],"multiresolution":[38],"analysis":[39],"However,":[43],"current":[47],"research":[48,59],"focuses":[53],"static":[55],"The":[58,138,168],"does":[60],"not":[61],"exploit":[62],"temporal":[64],"correlations":[65],"time-varying":[67,182,197],"signals":[68],"in":[69,74,134,196],"real-world":[70],"applications,":[71],"such":[72],"as":[73],"wireless":[75],"sensor":[76],"networks.":[77],"paper,":[80],"theory":[82],"and":[83,177],"design":[84,104],"joint":[86,206],"time-vertex":[87,207],"nonsubsampled":[88],"are":[91,101,141,171],"developed,":[92],"using":[93],"generalized":[95],"product":[96],"framework.":[98],"Several":[99],"methods":[100],"proposed":[102,192],"perfect":[109],"reconstruction,":[110],"while":[111],"still":[112],"achieving":[113],"filters":[114,140,158],"good":[116],"spectral":[117],"characteristics.":[118],"A":[119],"notable":[120],"feature":[121],"designed":[124,193],"it":[129],"can":[130],"be":[131],"completely":[132],"realized":[133],"distributed":[136],"manner.":[137],"subband":[139,157],"either":[142,153],"polynomial":[144],"type":[145],"or":[146],"defined":[147],"implicitly":[148],"via":[149],"iterative":[150],"equations.":[151],"case,":[154],"implementing":[155],"requires":[159],"only":[160],"exchange":[162],"information":[164],"between":[165],"neighboring":[166],"nodes.":[167],"banks":[170],"therefore":[172],"low":[174],"implementation":[175],"complexity":[176],"suitable":[178],"for":[179],"large":[181],"datasets.":[183],"Numerical":[184],"examples":[185],"will":[186,201],"demonstrate":[187],"effectiveness":[189],"methods.":[194,212],"Application":[195],"denoising":[200],"show":[202],"superiority":[204],"over":[210],"other":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
