{"id":"https://openalex.org/W4383220398","doi":"https://doi.org/10.1109/lsp.2023.3292741","title":"Median Autoregressive Graph Filters","display_name":"Median Autoregressive Graph Filters","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383220398","doi":"https://doi.org/10.1109/lsp.2023.3292741"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3292741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3292741","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/Median_Autoregressive_Graph_Filters/23751411","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 IT, Deakin University, Victoria, Australia","School of IT, Deakin University, Waurn Ponds, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of IT, Deakin University, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"School of IT, Deakin University, Waurn Ponds, Victoria, 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":1.0423,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81030481,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"833","last_page":"837"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.955299973487854,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9531999826431274,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.6194062829017639},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5575674772262573},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5484122633934021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4686673879623413},{"id":"https://openalex.org/keywords/linear-filter","display_name":"Linear filter","score":0.4509151577949524},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4368181824684143},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.4155958890914917},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4109300971031189},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.39298388361930847},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3901628851890564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.389425665140152},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.3257898986339569},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3233776092529297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11156833171844482}],"concepts":[{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.6194062829017639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5575674772262573},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5484122633934021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4686673879623413},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.4509151577949524},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4368181824684143},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.4155958890914917},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4109300971031189},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.39298388361930847},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3901628851890564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.389425665140152},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.3257898986339569},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3233776092529297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11156833171844482},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2023.3292741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3292741","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:figshare.com:article/23751411","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Median_Autoregressive_Graph_Filters/23751411","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/23751411","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Median_Autoregressive_Graph_Filters/23751411","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":18,"referenced_works":["https://openalex.org/W1937201840","https://openalex.org/W1981130078","https://openalex.org/W1990437728","https://openalex.org/W1990488619","https://openalex.org/W2101248405","https://openalex.org/W2101491865","https://openalex.org/W2521050763","https://openalex.org/W2611275110","https://openalex.org/W2739744923","https://openalex.org/W2780298283","https://openalex.org/W2793845141","https://openalex.org/W2796431263","https://openalex.org/W2990385600","https://openalex.org/W3061819606","https://openalex.org/W3105622694","https://openalex.org/W3197486889","https://openalex.org/W4319998355","https://openalex.org/W6849675745"],"related_works":["https://openalex.org/W1970684742","https://openalex.org/W2245414322","https://openalex.org/W2151194595","https://openalex.org/W1985325703","https://openalex.org/W2002521569","https://openalex.org/W2080577510","https://openalex.org/W1894984543","https://openalex.org/W2078971444","https://openalex.org/W2132248025","https://openalex.org/W2160916790"],"abstract_inverted_index":{"Graph":[0,73],"filters":[1,15,37],"are":[2,19,22,38,45],"fundamental":[3],"for":[4],"extracting":[5],"and":[6,21,88],"processing":[7],"signals":[8],"defined":[9],"over":[10],"irregular":[11],"domains.":[12],"Most":[13],"graph":[14,29,36,55,66],"in":[16,92,110],"the":[17,28,62,70,85,99,115,119,131],"literature":[18],"linear,":[20],"usually":[23],"based":[24],"on":[25],"polynomials":[26],"of":[27,41,61,114,121],"shift":[30],"matrix.":[31],"Autoregressive":[32,72],"Moving":[33],"Average":[34],"(ARMA)":[35],"a":[39,53,80,93],"generalization":[40],"polynomial":[42],"filters,":[43],"but":[44],"still":[46],"linear.":[47],"In":[48],"this":[49,111],"work,":[50],"we":[51],"propose":[52],"nonlinear":[54],"filter":[56],"that":[57],"is":[58],"an":[59],"extension":[60],"order":[63],"one":[64],"ARMA":[65],"filter,":[67],"to":[68,84,118],"give":[69],"Median":[71],"Filter":[74],"(MAF).":[75],"The":[76],"proposed":[77,116],"MAF":[78,100,117],"has":[79,101],"similar":[81],"localization":[82],"property":[83],"linear":[86,132],"counterpart,":[87],"can":[89],"be":[90,107,127,136],"implemented":[91],"distributive":[94],"manner.":[95],"Though":[96],"strictly":[97],"nonlinear,":[98],"some":[102],"linear-like":[103],"properties,":[104],"which":[105],"will":[106,126,134],"formally":[108],"proven":[109],"work.":[112],"Application":[113],"denoising":[120],"real-world":[122],"sensor":[123],"network":[124],"datasets":[125],"presented.":[128],"Comparisons":[129],"with":[130],"counterpart":[133],"also":[135],"made.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}