{"id":"https://openalex.org/W2396936002","doi":"https://doi.org/10.1109/icassp.2016.7472574","title":"Non-stationary blind super-resolution","display_name":"Non-stationary blind super-resolution","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2396936002","doi":"https://doi.org/10.1109/icassp.2016.7472574","mag":"2396936002"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5102747005","display_name":"Dehui Yang","orcid":"https://orcid.org/0000-0001-6984-9553"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dehui Yang","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Colorado School of Mines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101848896","display_name":"Gongguo Tang","orcid":"https://orcid.org/0000-0002-7879-1338"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gongguo Tang","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Colorado School of Mines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065207980","display_name":"Michael B. Wakin","orcid":"https://orcid.org/0000-0002-2165-4586"},"institutions":[{"id":"https://openalex.org/I167576493","display_name":"Colorado School of Mines","ror":"https://ror.org/04raf6v53","country_code":"US","type":"education","lineage":["https://openalex.org/I167576493"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael B. Wakin","raw_affiliation_strings":["Dept. of Electrical Engineering and Computer Science, Colorado School of Mines"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Colorado School of Mines","institution_ids":["https://openalex.org/I167576493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167576493"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4727","last_page":"4731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/semidefinite-programming","display_name":"Semidefinite programming","score":0.7335959076881409},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.6104040145874023},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5649774074554443},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5633465051651001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5305949449539185},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5082015991210938},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.47104454040527344},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46184438467025757},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.42664211988449097},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.41350215673446655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33987492322921753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22321152687072754}],"concepts":[{"id":"https://openalex.org/C101901036","wikidata":"https://www.wikidata.org/wiki/Q2269096","display_name":"Semidefinite programming","level":2,"score":0.7335959076881409},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.6104040145874023},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5649774074554443},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5633465051651001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5305949449539185},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5082015991210938},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.47104454040527344},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46184438467025757},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.42664211988449097},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.41350215673446655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33987492322921753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22321152687072754},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W589200591","https://openalex.org/W1571780702","https://openalex.org/W2011687187","https://openalex.org/W2030400978","https://openalex.org/W2066521860","https://openalex.org/W2081210827","https://openalex.org/W2098535678","https://openalex.org/W2102019642","https://openalex.org/W2137198385","https://openalex.org/W2140867429","https://openalex.org/W2167077875","https://openalex.org/W2565293665","https://openalex.org/W2963299038","https://openalex.org/W2963733763","https://openalex.org/W2964021982","https://openalex.org/W2964325628","https://openalex.org/W3104684837","https://openalex.org/W3124617746","https://openalex.org/W4301372391","https://openalex.org/W6617601666","https://openalex.org/W6634208931","https://openalex.org/W6679200930","https://openalex.org/W6689650114"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2589098082"],"abstract_inverted_index":{"In":[0],"this":[1,77],"paper,":[2],"we":[3,62],"propose":[4],"a":[5,44,58,73],"new":[6],"framework":[7,33,71],"for":[8,94],"parameter":[9],"estimation":[10],"of":[11,47,92,102,104],"complex":[12],"exponentials":[13],"from":[14],"their":[15],"modulations":[16],"with":[17],"unknown":[18,54],"waveforms":[19,55],"via":[20],"convex":[21],"programming.":[22,86],"Our":[23],"model":[24],"generalizes":[25],"the":[26,39,50,53,64,90,100,107],"recently":[27],"developed":[28],"blind":[29],"sparse":[30],"spike":[31],"deconvolution":[32],"by":[34,72],"Y.":[35],"Chi":[36],"[1]":[37],"to":[38,99,110],"non-stationary":[40],"scenario":[41],"and":[42,76],"encompasses":[43],"wide":[45],"spectrum":[46],"applications.":[48],"Under":[49],"assumption":[51],"that":[52,89],"live":[56],"in":[57,106],"common":[59],"random":[60],"subspace,":[61],"recast":[63],"problem":[65,78],"into":[66],"an":[67],"atomic":[68],"norm":[69],"minimization":[70],"lifting":[74],"trick,":[75],"can":[79],"be":[80],"solved":[81],"using":[82],"computationally":[83],"efficient":[84],"semidefinite":[85],"We":[87],"show":[88],"number":[91,101],"measurements":[93],"exact":[95],"recovery":[96],"is":[97],"proportional":[98],"degrees":[103],"freedom":[105],"problem,":[108],"up":[109],"polylogarithmic":[111],"factors.":[112],"Numerical":[113],"experiments":[114],"support":[115],"our":[116],"theoretical":[117],"findings.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}