{"id":"https://openalex.org/W4393380081","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476932","title":"Extending DSP to Graph Signal Processing: The Companion Approach","display_name":"Extending DSP to Graph Signal Processing: The Companion Approach","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4393380081","doi":"https://doi.org/10.1109/ieeeconf59524.2023.10476932"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59524.2023.10476932","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-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":null,"display_name":"John Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"John Shi","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University,Pittsburgh,PA,USA","Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 M.F. Moura","raw_affiliation_strings":["Electrical and Computer Engineering, Carnegie Mellon University,Pittsburgh,PA,USA","Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University,Pittsburgh,PA,USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.1185,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46822642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"335","last_page":"339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9151999950408936,"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"}},"topics":[{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9151999950408936,"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/digital-signal-processing","display_name":"Digital signal processing","score":0.8160111308097839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7196032404899597},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5107173919677734},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4913696348667145},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2611820697784424},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.22550636529922485}],"concepts":[{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.8160111308097839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7196032404899597},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5107173919677734},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4913696348667145},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2611820697784424},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.22550636529922485}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59524.2023.10476932","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59524.2023.10476932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G347404797","display_name":null,"funder_award_id":"CCF 2327905","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1555827348","https://openalex.org/W1698699930","https://openalex.org/W1974306717","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W1998849268","https://openalex.org/W2014485895","https://openalex.org/W2019764548","https://openalex.org/W2118193919","https://openalex.org/W2161763921","https://openalex.org/W2215668387","https://openalex.org/W2626271247","https://openalex.org/W2632499194","https://openalex.org/W2796431263","https://openalex.org/W2962817598","https://openalex.org/W2963556049","https://openalex.org/W3012995967","https://openalex.org/W3035497236","https://openalex.org/W3095079835","https://openalex.org/W3160429182","https://openalex.org/W4235934856","https://openalex.org/W4287264269","https://openalex.org/W4323521101"],"related_works":["https://openalex.org/W4210376836","https://openalex.org/W4210925376","https://openalex.org/W1633995705","https://openalex.org/W2596211269","https://openalex.org/W197862639","https://openalex.org/W2360384790","https://openalex.org/W4232397253","https://openalex.org/W4235913033","https://openalex.org/W2109284253","https://openalex.org/W2039966832"],"abstract_inverted_index":{"Graph":[0],"signal":[1,20],"processing":[2,21],"(GSP)":[3],"was":[4],"designed":[5],"in":[6,94,107,129,141],"[1]":[7],"(see":[8],"also":[9],"[2],":[10],"[3]),":[11],"as":[12,25,48],"a":[13,61],"natural,":[14],"intuitive":[15],"extension":[16],"of":[17,117,135],"traditional":[18],"discrete":[19],"(DSP).":[22],"Concepts":[23],"such":[24,47],"shifting,":[26],"filtering,":[27],"graph":[28,30,34,53],"signal,":[29],"Fourier":[31],"transform,":[32],"and":[33,52,65,81,105,121],"spectral":[35],"analysis":[36],"are":[37],"naturally":[38,57,84],"extended":[39],"from":[40,87],"DSP":[41,64,73,106],"to":[42,71],"GSP.":[43],"However,":[44],"other":[45],"concepts,":[46],"delta":[49],"functions,":[50],"sampling,":[51],"structure":[54],"cannot":[55,83],"be":[56],"extended.":[58],"This":[59],"illustrates":[60],"gap":[62,102],"between":[63,103],"GSP":[66,80,82,90,104,137],"when":[67],"introducing":[68],"new":[69],"concepts":[70],"GSP:":[72],"intuitions":[74],"do":[75],"not":[76],"necessarily":[77],"hold":[78],"for":[79],"draw":[85],"inspiration":[86],"DSP.":[88],"The":[89],"companion":[91,124,138],"model":[92,139],"developed":[93],"[4]":[95,142],"solves":[96],"this":[97,111],"issue":[98],"by":[99],"bridging":[100],"the":[101,108,127,136],"literature.":[109],"In":[110],"paper,":[112],"we":[113],"show":[114],"several":[115],"examples":[116],"graphs,":[118],"their":[119,122],"signals,":[120],"corresponding":[123],"models,":[125],"following":[126],"work":[128],"[4].":[130],"We":[131],"illustrate":[132],"some":[133],"properties":[134],"discussed":[140],"using":[143],"these":[144],"examples.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
