{"id":"https://openalex.org/W2164023906","doi":"https://doi.org/10.1109/icassp.1980.1171036","title":"A new non-linear superresolution algorithm","display_name":"A new non-linear superresolution algorithm","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2164023906","doi":"https://doi.org/10.1109/icassp.1980.1171036","mag":"2164023906"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1980.1171036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1171036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5030399610","display_name":"R. Frost","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Frost","raw_affiliation_strings":["Department of Electrical Engineering, University of Utah, Salt Lake, UT, USA","Lincoln Laboratory, M.I.T., Lexington, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Utah, Salt Lake, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Lincoln Laboratory, M.I.T., Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087418997","display_name":"C.K. Rushforth","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Rushforth","raw_affiliation_strings":["Department of Electrical Engineering, University of Utah, Salt Lake, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Utah, Salt Lake, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"441","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994000196456909,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.707538902759552},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.6946343183517456},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6230729818344116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6081355214118958},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5647643208503723},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5406941175460815},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4788115620613098},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46717554330825806},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45653092861175537},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.42502716183662415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2858021855354309},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22456935048103333},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.20837315917015076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18750303983688354},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.14560890197753906},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09530887007713318}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.707538902759552},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.6946343183517456},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6230729818344116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6081355214118958},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5647643208503723},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5406941175460815},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4788115620613098},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46717554330825806},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45653092861175537},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.42502716183662415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2858021855354309},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22456935048103333},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.20837315917015076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18750303983688354},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.14560890197753906},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09530887007713318},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1980.1171036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1171036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing","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":6,"referenced_works":["https://openalex.org/W1633426655","https://openalex.org/W1969469319","https://openalex.org/W1982061533","https://openalex.org/W2049352069","https://openalex.org/W2997787162","https://openalex.org/W3211625967"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W2220129715","https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W1960072520","https://openalex.org/W2516295475","https://openalex.org/W2766639751","https://openalex.org/W2390401148"],"abstract_inverted_index":{"A":[0],"problem":[1,25],"receiving":[2],"considerable":[3],"attention":[4],"from":[5],"researchers":[6],"is":[7,26,38,55,60],"that":[8],"of":[9,14,18,21,31,42,75,86,93],"producing":[10],"a":[11,19,72],"stable":[12],"extrapolation":[13],"the":[15,29,32,43,84,91],"Fourier":[16],"transform":[17],"function":[20],"finite":[22],"support.":[23],"The":[24],"ill-posed,":[27],"and":[28,62,89],"sensitivity":[30],"extrapolated":[33],"result":[34],"to":[35,47],"measurement":[36],"noise":[37],"pronounced":[39],"for":[40],"many":[41],"solution":[44],"algorithms":[45],"proposed":[46],"date,":[48],"In":[49],"this":[50,87],"paper":[51],"an":[52],"alternative":[53],"algorithm":[54,59],"presented.":[56],"This":[57],"new":[58],"non-linear,":[61],"in":[63,80],"certain":[64],"cases":[65],"can":[66],"produce":[67],"very":[68],"accurate":[69],"extrapolations":[70],"over":[71],"wide":[73],"range":[74],"signal-to-noise":[76],"ratios.":[77],"We":[78],"discuss":[79],"rather":[81],"heuristic":[82],"terms":[83],"behavior":[85],"algorithm,":[88],"summarize":[90],"results":[92],"some":[94],"experiments.":[95]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
