{"id":"https://openalex.org/W2938615998","doi":"https://doi.org/10.1109/icassp.2019.8682996","title":"Blind Super-resolution in Two-dimensional Parameter Space","display_name":"Blind Super-resolution in Two-dimensional Parameter Space","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2938615998","doi":"https://doi.org/10.1109/icassp.2019.8682996","mag":"2938615998"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"https://openalex.org/A5034561270","display_name":"Mohamed Suliman","orcid":"https://orcid.org/0000-0002-3447-1770"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mohamed A. Suliman","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100752236","display_name":"Wei Dai","orcid":"https://orcid.org/0000-0002-4781-3485"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Dai","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034561270"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.5675,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63348047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5511","last_page":"5515"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9969000220298767,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.636452853679657},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5164523124694824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5020699501037598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5018846988677979},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.494851291179657},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.492329478263855},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.47582605481147766},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.46770402789115906},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.44168969988822937},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.42092686891555786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3974418044090271},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1659640073776245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16067832708358765},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09575033187866211}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.636452853679657},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5164523124694824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5020699501037598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5018846988677979},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.494851291179657},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.492329478263855},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.47582605481147766},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.46770402789115906},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.44168969988822937},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.42092686891555786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3974418044090271},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1659640073776245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16067832708358765},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09575033187866211},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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":24,"referenced_works":["https://openalex.org/W584962943","https://openalex.org/W589200591","https://openalex.org/W1571780702","https://openalex.org/W1600672635","https://openalex.org/W1972649231","https://openalex.org/W1992858116","https://openalex.org/W2008697571","https://openalex.org/W2022250867","https://openalex.org/W2039495012","https://openalex.org/W2043864462","https://openalex.org/W2108838633","https://openalex.org/W2130257526","https://openalex.org/W2140867429","https://openalex.org/W2167077875","https://openalex.org/W2565293665","https://openalex.org/W2594299404","https://openalex.org/W2900035923","https://openalex.org/W2962826447","https://openalex.org/W2963299038","https://openalex.org/W2964325628","https://openalex.org/W3124617746","https://openalex.org/W4250589301","https://openalex.org/W4290044043","https://openalex.org/W6755832070"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W2176409448","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2883092465","https://openalex.org/W3153752017"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,46],"provide":[4],"a":[5,14,48,78,88],"new":[6],"mathematical":[7],"framework":[8,52],"for":[9],"identifying":[10],"the":[11,27,57,64,71,83,93,97,101,104,118,122],"parameters":[12],"of":[13,36,39,96],"linear":[15],"system":[16,28,105],"from":[17],"its":[18],"response":[19,29],"to":[20,62],"multiple":[21],"unknown":[22,34,43,72],"waveforms.":[23,44,73],"We":[24,74],"assume":[25],"that":[26,53,76,116],"is":[30,54],"given":[31],"by":[32],"an":[33],"number":[35,95],"scaled":[37],"versions":[38],"time-delayed":[40],"and":[41,86,110],"frequency-shifted":[42],"Then,":[45],"develop":[47],"blind":[49],"two-dimensional":[50],"super-resolution":[51],"based":[55],"on":[56,92],"convex":[58],"atomic":[59],"norm":[60],"frame-work":[61],"recover":[63],"continuous":[65],"time-frequency":[66,84],"shifts":[67,85],"as":[68,70],"well":[69],"prove":[75],"under":[77],"minimum":[79],"separation":[80],"condition":[81],"between":[82],"with":[87,111],"certain":[89],"lower":[90],"bound":[91],"total":[94],"observed":[98],"samples,":[99],"all":[100],"unknowns":[102],"in":[103,121],"can":[106],"be":[107],"recovered":[108],"precisely":[109],"high":[112],"probability.":[113],"Simulation":[114],"results":[115],"confirm":[117],"theoretical":[119],"findings":[120],"paper":[123],"are":[124],"provided.":[125]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}