{"id":"https://openalex.org/W2248489337","doi":"https://doi.org/10.1109/camsap.2015.7383729","title":"Blind calibration of multi-channel samplers using sparse recovery","display_name":"Blind calibration of multi-channel samplers using sparse recovery","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2248489337","doi":"https://doi.org/10.1109/camsap.2015.7383729","mag":"2248489337"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2015.7383729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5003913140","display_name":"Yuanxin Li","orcid":"https://orcid.org/0000-0002-3418-5811"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuanxin Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053332963","display_name":"Yingsheng He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingsheng He","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053809095","display_name":"Yuejie Chi","orcid":"https://orcid.org/0000-0002-6766-5459"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuejie Chi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Ohio University, Columbus, OH, USA","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038111389","display_name":"Yue M. Lu","orcid":"https://orcid.org/0000-0002-5174-2595"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yue M. Lu","raw_affiliation_strings":["Harvard University, Cambridge, MA, US"],"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, US","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003913140"],"corresponding_institution_ids":["https://openalex.org/I4210106879"],"apc_list":null,"apc_paid":null,"fwci":0.3249,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62800343,"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":"33","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/channel","display_name":"Channel (broadcasting)","score":0.6157954335212708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6070850491523743},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5526694059371948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5284920930862427},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.5284849405288696},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4998197555541992},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4832921326160431},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4630091190338135},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.44957929849624634},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.44240498542785645},{"id":"https://openalex.org/keywords/discrete-fourier-transform","display_name":"Discrete Fourier transform (general)","score":0.43159472942352295},{"id":"https://openalex.org/keywords/harmonics","display_name":"Harmonics","score":0.43149763345718384},{"id":"https://openalex.org/keywords/harmonic-analysis","display_name":"Harmonic analysis","score":0.41191205382347107},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3159373104572296},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.2946397662162781},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.18007227778434753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16389214992523193},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10126438736915588},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.09458419680595398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0917104184627533}],"concepts":[{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6157954335212708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6070850491523743},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5526694059371948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5284920930862427},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.5284849405288696},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4998197555541992},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4832921326160431},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4630091190338135},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.44957929849624634},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.44240498542785645},{"id":"https://openalex.org/C57733114","wikidata":"https://www.wikidata.org/wiki/Q1006032","display_name":"Discrete Fourier transform (general)","level":5,"score":0.43159472942352295},{"id":"https://openalex.org/C188414643","wikidata":"https://www.wikidata.org/wiki/Q3001183","display_name":"Harmonics","level":3,"score":0.43149763345718384},{"id":"https://openalex.org/C131770355","wikidata":"https://www.wikidata.org/wiki/Q876215","display_name":"Harmonic analysis","level":2,"score":0.41191205382347107},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3159373104572296},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.2946397662162781},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.18007227778434753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16389214992523193},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10126438736915588},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.09458419680595398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0917104184627533},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap.2015.7383729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2015.7383729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1512417362","https://openalex.org/W1988588397","https://openalex.org/W1991233659","https://openalex.org/W2120252149","https://openalex.org/W2123457453","https://openalex.org/W2156362142","https://openalex.org/W2163143567","https://openalex.org/W2289917018"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W2364594919","https://openalex.org/W2737338842","https://openalex.org/W2145259460","https://openalex.org/W2078960130","https://openalex.org/W1590559189"],"abstract_inverted_index":{"We":[0,118],"propose":[1,119],"an":[2,105],"algorithm":[3,123,135],"for":[4],"blind":[5],"calibration":[6],"of":[7,13,48,66,76,78,80,100,141,156],"multi-channel":[8,26],"samplers":[9],"in":[10,21,109],"the":[11,61,64,72,81,85,98,132,154,157],"presence":[12],"unknown":[14],"gains":[15],"and":[16,31,63,143],"offsets,":[17,62],"which":[18],"is":[19,102,113,136],"useful":[20],"many":[22],"applications":[23],"such":[24],"as":[25],"analog-to-digital":[27],"converters,":[28],"image":[29],"super-resolution,":[30],"sensor":[32],"networks.":[33],"Using":[34],"a":[35,46,88,93,120],"subspace-based":[36],"rank":[37],"condition":[38],"developed":[39],"by":[40,60,71],"Vandewalle":[41],"et":[42],"al.,":[43],"we":[44],"obtain":[45],"set":[47],"linear":[49],"equations":[50],"with":[51,104],"respect":[52],"to":[53,130,138,148],"complex":[54],"harmonics":[55],"whose":[56],"frequencies":[57],"are":[58,69],"determined":[59,70],"coefficients":[65],"each":[67,79,110],"harmonic":[68],"discrete-time":[73],"Fourier":[74],"transforms":[75],"outputs":[77],"channels.":[82],"By":[83],"discretizing":[84],"offsets":[86],"over":[87],"fine":[89],"grid,":[90],"this":[91,126],"becomes":[92],"sparse":[94,103],"recovery":[95],"problem":[96],"where":[97],"signal":[99],"interest":[101],"additional":[106],"structure,":[107],"that":[108,124],"block":[111],"there":[112],"only":[114],"one":[115],"nonzero":[116],"entry.":[117],"modified":[121],"CoSaMP":[122],"takes":[125],"structure":[127],"into":[128],"account":[129],"estimate":[131],"offsets.":[133],"Our":[134],"scalable":[137],"large":[139],"numbers":[140],"channels":[142],"can":[144],"also":[145],"be":[146],"extended":[147],"multi-dimensional":[149],"signals.":[150],"Numerical":[151],"experiments":[152],"demonstrate":[153],"effectiveness":[155],"proposed":[158],"algorithm.":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
