{"id":"https://openalex.org/W4408356048","doi":"https://doi.org/10.1109/icassp49660.2025.10889406","title":"Generalized Graph Signal Reconstruction via the Uncertainty Principle","display_name":"Generalized Graph Signal Reconstruction via the Uncertainty Principle","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356048","doi":"https://doi.org/10.1109/icassp49660.2025.10889406"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100754736","display_name":"Yanan Zhao","orcid":"https://orcid.org/0009-0006-7766-6005"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanan Zhao","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002605096","display_name":"Xingchao Jian","orcid":"https://orcid.org/0000-0003-4463-4198"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xingchao Jian","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028258863","display_name":"Feng Ji","orcid":"https://orcid.org/0000-0003-3442-1471"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Feng Ji","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046850399","display_name":"Wee Peng Tay","orcid":"https://orcid.org/0000-0002-1543-195X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Wee Peng Tay","raw_affiliation_strings":["Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University,School of Electrical and Electronic Engineering,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040001106","display_name":"Antonio Ortega","orcid":"https://orcid.org/0000-0001-5403-0940"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonio Ortega","raw_affiliation_strings":["University of Southern California,Department of Electrical and Computer Engineering,Los Angeles,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California,Department of Electrical and Computer Engineering,Los Angeles,USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9686999917030334,"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":0.9686999917030334,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9523000121116638,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9391000270843506,"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/signal-reconstruction","display_name":"Signal reconstruction","score":0.5785890817642212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5768038630485535},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4382871687412262},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4247913360595703},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.3699074983596802},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3342498242855072},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2774825394153595},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.18798017501831055}],"concepts":[{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5785890817642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5768038630485535},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4382871687412262},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4247913360595703},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3699074983596802},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3342498242855072},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2774825394153595},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.18798017501831055},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889406","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1972649231","https://openalex.org/W1974306717","https://openalex.org/W1990488619","https://openalex.org/W1991252559","https://openalex.org/W2005876975","https://openalex.org/W2016423476","https://openalex.org/W2024457004","https://openalex.org/W2067111814","https://openalex.org/W2088801740","https://openalex.org/W2090744237","https://openalex.org/W2101491865","https://openalex.org/W2103351706","https://openalex.org/W2111160863","https://openalex.org/W2112796928","https://openalex.org/W2135046866","https://openalex.org/W2153663612","https://openalex.org/W2167208435","https://openalex.org/W2215668387","https://openalex.org/W2465872592","https://openalex.org/W2610174843","https://openalex.org/W2735265937","https://openalex.org/W2781888589","https://openalex.org/W2796431263","https://openalex.org/W2963482381","https://openalex.org/W2963933777","https://openalex.org/W2969273637","https://openalex.org/W2972666141","https://openalex.org/W2991366507","https://openalex.org/W3133684664","https://openalex.org/W4240906956","https://openalex.org/W4408356048","https://openalex.org/W6629852587"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2537887767","https://openalex.org/W2090582423","https://openalex.org/W1586210010","https://openalex.org/W2361176950","https://openalex.org/W2350208827"],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,19,37,47,63],"novel":[3],"uncertainty":[4,16],"principle":[5],"for":[6,62],"generalized":[7],"graph":[8,15],"signals":[9,50],"that":[10],"extends":[11],"classical":[12],"time-frequency":[13],"and":[14,26,84,103],"principles":[17],"into":[18],"unified":[20],"framework.":[21],"By":[22],"defining":[23],"joint":[24,65],"vertex-time":[25,66],"spectral-frequency":[27],"spreads,":[28],"we":[29],"quantify":[30],"signal":[31,71],"localization":[32],"across":[33],"these":[34],"domains,":[35,57],"revealing":[36],"trade-off":[38],"between":[39],"them.":[40],"This":[41,68],"framework":[42],"allows":[43],"us":[44],"to":[45,107],"identify":[46],"class":[48],"of":[49,95],"with":[51],"maximal":[52],"energy":[53],"concentration":[54],"in":[55,82],"both":[56],"forming":[58],"the":[59,93,96],"fundamental":[60],"atoms":[61],"new":[64],"dictionary.":[67],"dictionary":[69],"enhances":[70],"reconstruction":[72,101],"under":[73],"practical":[74],"constraints,":[75],"such":[76],"as":[77],"intermittent":[78],"data,":[79],"commonly":[80],"encountered":[81],"sensor":[83],"social":[85],"networks.":[86],"Numerical":[87],"experiments":[88],"on":[89],"real-world":[90],"datasets":[91],"demonstrate":[92],"effectiveness":[94],"proposed":[97],"approach,":[98],"showing":[99],"improved":[100],"accuracy":[102],"noise":[104],"robustness":[105],"compared":[106],"existing":[108],"methods.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}