{"id":"https://openalex.org/W7154102409","doi":"https://doi.org/10.1109/isit62367.2026.11653924","title":"Robust Spectral Recovery for Dynamical Sampling","display_name":"Robust Spectral Recovery for Dynamical Sampling","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7154102409","doi":"https://doi.org/10.1109/isit62367.2026.11653924"},"language":"en","primary_location":{"id":"doi:10.1109/isit62367.2026.11653924","doi":"https://doi.org/10.1109/isit62367.2026.11653924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit62367.2026.11653924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2604.09477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103070466","display_name":"HanQin Cai","orcid":"https://orcid.org/0000-0002-2937-1986","observed_orcids":["https://orcid.org/0000-0002-2937-1986"]},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"HanQin Cai","raw_affiliation_strings":["University of Central Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035286718","display_name":"Longxiu Huang","orcid":"https://orcid.org/0000-0002-6610-9653","observed_orcids":["https://orcid.org/0000-0002-6610-9653"]},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longxiu Huang","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005091075","display_name":"Tianming Wang","orcid":"https://orcid.org/0000-0002-0928-7154","observed_orcids":["https://orcid.org/0000-0002-0928-7154"]},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Wang","raw_affiliation_strings":["Southwestern University of Finance and Economics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics","institution_ids":["https://openalex.org/I204831749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049902584","display_name":"Juntao You","orcid":"https://orcid.org/0000-0003-0014-3514","observed_orcids":["https://orcid.org/0000-0003-0014-3514"]},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntao You","raw_affiliation_strings":["National Center for Applied Mathematics in Hubei Wuhan University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center for Applied Mathematics in Hubei Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13333333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.7056000232696533,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.7056000232696533,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.27559998631477356,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.007400000002235174,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamical-sampling","display_name":"dynamical sampling","score":0.9810000061988831},{"id":"https://openalex.org/keywords/spectral-recovery","display_name":"spectral recovery","score":0.9729999899864197},{"id":"https://openalex.org/keywords/outliers","display_name":"outliers","score":0.7609999775886536},{"id":"https://openalex.org/keywords/prony-method","display_name":"Prony method","score":0.8529999852180481}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7038999795913696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.614300012588501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5662999749183655},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5583999752998352},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49160000681877136},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3449999988079071},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.3325999975204468},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.29429998993873596},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C33962884","wikidata":"https://www.wikidata.org/wiki/Q378637","display_name":"Dynamical system (definition)","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C113407356","wikidata":"https://www.wikidata.org/wiki/Q1431214","display_name":"Spectral leakage","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C2778740170","wikidata":"https://www.wikidata.org/wiki/Q7575210","display_name":"Spectral space","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C23463724","wikidata":"https://www.wikidata.org/wiki/Q2308831","display_name":"Spectral method","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.2556000053882599}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit62367.2026.11653924","doi":"https://doi.org/10.1109/isit62367.2026.11653924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit62367.2026.11653924","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2604.09477","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.09477","pdf_url":"https://arxiv.org/pdf/2604.09477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2604.09477","doi":"https://doi.org/10.48550/arxiv.2604.09477","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2604.09477","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2604.09477","pdf_url":"https://arxiv.org/pdf/2604.09477","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7154102409.pdf","grobid_xml":"https://content.openalex.org/works/W7154102409.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1763006631","https://openalex.org/W1980448497","https://openalex.org/W2010923849","https://openalex.org/W2051386531","https://openalex.org/W2064771273","https://openalex.org/W2094529536","https://openalex.org/W2122116331","https://openalex.org/W2133638105","https://openalex.org/W2145758026","https://openalex.org/W2152863486","https://openalex.org/W2262820264","https://openalex.org/W2611328865","https://openalex.org/W2785999753","https://openalex.org/W2883279073","https://openalex.org/W2921727095","https://openalex.org/W2962694024","https://openalex.org/W2963996956","https://openalex.org/W2964121507","https://openalex.org/W3018755705","https://openalex.org/W3022614557","https://openalex.org/W3037747242","https://openalex.org/W3043060394","https://openalex.org/W3135021884","https://openalex.org/W3137336728","https://openalex.org/W4380318473","https://openalex.org/W4399598047","https://openalex.org/W4399666515","https://openalex.org/W4415624812"],"related_works":["https://openalex.org/W1763006631","https://openalex.org/W2979756219","https://openalex.org/W2798400203","https://openalex.org/W2411301464","https://openalex.org/W2757942242","https://openalex.org/W3106271742","https://openalex.org/W2010923849","https://openalex.org/W3043060394","https://openalex.org/W2889367965","https://openalex.org/W2595938461"],"abstract_inverted_index":{"We":[0,61,79],"study":[1],"the":[2,25,32,35,43,59,74,86,107,112],"spectral":[3,70,102,109],"recovery":[4,71,95,110],"problem":[5,87],"for":[6],"dynamical":[7],"sampling":[8],"on":[9],"a":[10,19,50,67,81,89],"finite":[11],"cyclic":[12],"grid.":[13],"Given":[14],"time":[15],"snapshots":[16],"obtained":[17],"from":[18],"fixed":[20],"uniform":[21],"spatial":[22],"subsampling":[23],"of":[24,34,45,76,91,111],"orbit":[26],"$x_{\\ell}=A^{\\ell}f$,":[27],"we":[28],"aim":[29],"to":[30,57,88],"recover":[31,58],"spectrum":[33],"unknown":[36],"circular":[37],"convolution":[38],"operator":[39],"$A$.":[40],"However,":[41],"in":[42,48,73],"presence":[44,75],"outliers,":[46],"even":[47],"only":[49],"few":[51],"snapshots,":[52],"existing":[53],"approaches":[54],"often":[55],"struggle":[56],"spectrum.":[60],"address":[62],"this":[63],"challenge":[64],"by":[65,100],"proposing":[66],"novel":[68],"robust":[69,82,92],"model":[72],"time-sparse":[77],"corruptions.":[78],"propose":[80],"pipeline":[83],"that":[84],"lifts":[85],"sequence":[90],"low-rank":[93],"Hankel":[94],"and":[96,115],"completion":[97],"tasks,":[98],"followed":[99],"Prony-type":[101],"estimation.":[103],"Numerical":[104],"experiments":[105],"confirm":[106],"accurate":[108],"proposed":[113],"approach":[114],"exhibit":[116],"its":[117],"superior":[118],"robustness":[119],"against":[120],"state-of-the-art":[121],"under":[122],"various":[123],"settings.":[124]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-14T00:00:00"}
