{"id":"https://openalex.org/W3105353882","doi":"https://doi.org/10.1109/lsp.2020.3038375","title":"Filter Design for Two-Channel Filter Banks on Directed Bipartite Graphs","display_name":"Filter Design for Two-Channel Filter Banks on Directed Bipartite Graphs","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3105353882","doi":"https://doi.org/10.1109/lsp.2020.3038375","mag":"3105353882"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.3038375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3038375","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/Filter_design_for_two-channel_filter_banks_on_directed_bipartite_graphs/20681704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":true,"raw_author_name":"David B. Tay","raw_affiliation_strings":["School of Information Technology, Deakin University, Waurn Ponds, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Deakin University, Waurn Ponds, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074687233"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.4059,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70825877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"2094","last_page":"2098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9950000047683716,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.703786313533783},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.6583600044250488},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5273937582969666},{"id":"https://openalex.org/keywords/modular-decomposition","display_name":"Modular decomposition","score":0.4708114564418793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46737876534461975},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4529326558113098},{"id":"https://openalex.org/keywords/graph-product","display_name":"Graph product","score":0.45150575041770935},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.43567055463790894},{"id":"https://openalex.org/keywords/spectral-graph-theory","display_name":"Spectral graph theory","score":0.4148257076740265},{"id":"https://openalex.org/keywords/pathwidth","display_name":"Pathwidth","score":0.3708629012107849},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.3696141242980957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35837501287460327},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.32596439123153687},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.2811035215854645}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.703786313533783},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.6583600044250488},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5273937582969666},{"id":"https://openalex.org/C187407849","wikidata":"https://www.wikidata.org/wiki/Q6889712","display_name":"Modular decomposition","level":5,"score":0.4708114564418793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46737876534461975},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4529326558113098},{"id":"https://openalex.org/C68103157","wikidata":"https://www.wikidata.org/wiki/Q569347","display_name":"Graph product","level":5,"score":0.45150575041770935},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.43567055463790894},{"id":"https://openalex.org/C74003402","wikidata":"https://www.wikidata.org/wiki/Q3180727","display_name":"Spectral graph theory","level":5,"score":0.4148257076740265},{"id":"https://openalex.org/C43517604","wikidata":"https://www.wikidata.org/wiki/Q7144893","display_name":"Pathwidth","level":4,"score":0.3708629012107849},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.3696141242980957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35837501287460327},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.32596439123153687},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2811035215854645}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/lsp.2020.3038375","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.3038375","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30146404","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/20681704","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Filter_design_for_two-channel_filter_banks_on_directed_bipartite_graphs/20681704","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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20681704","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Filter_design_for_two-channel_filter_banks_on_directed_bipartite_graphs/20681704","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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W757675842","https://openalex.org/W1481646516","https://openalex.org/W1654392496","https://openalex.org/W1698699930","https://openalex.org/W1766888123","https://openalex.org/W1991252559","https://openalex.org/W2004559848","https://openalex.org/W2011100624","https://openalex.org/W2024496749","https://openalex.org/W2049220509","https://openalex.org/W2101491865","https://openalex.org/W2117569556","https://openalex.org/W2120121938","https://openalex.org/W2154096164","https://openalex.org/W2158787690","https://openalex.org/W2166370383","https://openalex.org/W2405161446","https://openalex.org/W2439686107","https://openalex.org/W2469743904","https://openalex.org/W2531149756","https://openalex.org/W2535123509","https://openalex.org/W2557692045","https://openalex.org/W2739744923","https://openalex.org/W2793642588","https://openalex.org/W2798574116","https://openalex.org/W2964050973","https://openalex.org/W4210770595","https://openalex.org/W4237386736","https://openalex.org/W6622281769"],"related_works":["https://openalex.org/W4287028074","https://openalex.org/W3191289342","https://openalex.org/W3000797561","https://openalex.org/W2104125400","https://openalex.org/W2276438615","https://openalex.org/W4385414273","https://openalex.org/W2605372772","https://openalex.org/W577041502","https://openalex.org/W2199829433","https://openalex.org/W2981133959"],"abstract_inverted_index":{"Graph":[0],"signal":[1],"processing":[2],"on":[3,10],"directed":[4,64],"graphs":[5],"is":[6,26,106],"more":[7,50],"challenging":[8],"that":[9,30],"undirected":[11],"graph,":[12],"primarily":[13],"because":[14],"the":[15,24,32,41,57,77,100,103,117,120],"graph":[16,70,90],"matrices,":[17],"e.g.,":[18],"adjacency":[19],"or":[20],"Laplacian,":[21],"associated":[22],"with":[23],"latter":[25],"non-symmetric.":[27],"The":[28,89,97],"eigenvalues":[29],"represent":[31],"spectral":[33,44],"frequencies":[34,48],"are":[35,92,114],"therefore":[36],"complex":[37,47],"in":[38,84,102],"general,":[39],"and":[40],"design":[42,58,98,118],"of":[43,59,74,99,119],"filters":[45,91],"for":[46,63,86,116],"presents":[49],"challenges.":[51],"In":[52],"this":[53],"work":[54],"we":[55],"consider":[56],"two-channel":[60,79],"filter":[61],"banks":[62],"bipartite":[65,75],"graphs.":[66,88],"By":[67],"decomposing":[68],"any":[69],"into":[71],"a":[72,109],"series":[73],"graphs,":[76],"basic":[78],"system":[80],"can":[81],"be":[82],"applied":[83],"cascade":[85],"arbitrary":[87],"constructed":[93],"using":[94],"ladder":[95,104],"structures.":[96],"kernels":[101],"structures":[105],"achieved":[107],"via":[108],"least-squares":[110],"formulation.":[111],"Analytical":[112],"formulas":[113],"derived":[115],"kernel":[121],"coefficients.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
