{"id":"https://openalex.org/W2901517385","doi":"https://doi.org/10.1109/globalsip.2018.8646522","title":"A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging","display_name":"A Performance Analysis on the Optimal Number of Measurements for Coded Compressive Imaging","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2901517385","doi":"https://doi.org/10.1109/globalsip.2018.8646522","mag":"2901517385"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5034589901","display_name":"O\u011fuzhan Fatih Kar","orcid":"https://orcid.org/0000-0002-5323-579X"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Oguzhan Fatih Kar","raw_affiliation_strings":["ASELSAN Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043745756","display_name":"Alper G\u00fcng\u00f6r","orcid":"https://orcid.org/0000-0002-3043-9124"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Alper Gungor","raw_affiliation_strings":["ASELSAN Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033612193","display_name":"Serhat \u0130lbey","orcid":"https://orcid.org/0000-0002-3574-4320"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Serhat Ilbey","raw_affiliation_strings":["ASELSAN Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013478181","display_name":"Can Bar\u0131\u015f Top","orcid":"https://orcid.org/0000-0003-2746-2371"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Can Baris Top","raw_affiliation_strings":["ASELSAN Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016552760","display_name":"H. Emre G\u00fcven","orcid":"https://orcid.org/0000-0001-5665-8782"},"institutions":[{"id":"https://openalex.org/I56303344","display_name":"Aselsan (Turkey)","ror":"https://ror.org/04knh8e66","country_code":"TR","type":"company","lineage":["https://openalex.org/I56303344"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H. Emre Guven","raw_affiliation_strings":["ASELSAN Research Center, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ASELSAN Research Center, Ankara, Turkey","institution_ids":["https://openalex.org/I56303344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I56303344"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9911999702453613,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7781286239624023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6041252613067627},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5942813158035278},{"id":"https://openalex.org/keywords/magnetic-particle-imaging","display_name":"Magnetic particle imaging","score":0.5829436779022217},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5777636170387268},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5029794573783875},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.49487370252609253},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4883868098258972},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4781699776649475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.454540491104126},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.45309972763061523},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44818711280822754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43990594148635864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43664926290512085},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.428528368473053},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.39180469512939453},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29050517082214355},{"id":"https://openalex.org/keywords/magnetic-nanoparticles","display_name":"Magnetic nanoparticles","score":0.12151610851287842},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09216997027397156}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7781286239624023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6041252613067627},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5942813158035278},{"id":"https://openalex.org/C140722275","wikidata":"https://www.wikidata.org/wiki/Q1884331","display_name":"Magnetic particle imaging","level":4,"score":0.5829436779022217},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5777636170387268},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5029794573783875},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.49487370252609253},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4883868098258972},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4781699776649475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.454540491104126},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.45309972763061523},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44818711280822754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43990594148635864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43664926290512085},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.428528368473053},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.39180469512939453},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29050517082214355},{"id":"https://openalex.org/C87023908","wikidata":"https://www.wikidata.org/wiki/Q3870166","display_name":"Magnetic nanoparticles","level":3,"score":0.12151610851287842},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09216997027397156},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C155672457","wikidata":"https://www.wikidata.org/wiki/Q61231","display_name":"Nanoparticle","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1908963207","https://openalex.org/W1983277479","https://openalex.org/W2005089986","https://openalex.org/W2015418199","https://openalex.org/W2031852422","https://openalex.org/W2035657841","https://openalex.org/W2089446566","https://openalex.org/W2096699788","https://openalex.org/W2103955025","https://openalex.org/W2122548617","https://openalex.org/W2123031198","https://openalex.org/W2163973643","https://openalex.org/W2164278908","https://openalex.org/W2253653135","https://openalex.org/W2423620120","https://openalex.org/W2767093653","https://openalex.org/W2803747378","https://openalex.org/W2806839439","https://openalex.org/W2891138592","https://openalex.org/W3106359998","https://openalex.org/W4292363360","https://openalex.org/W6684002821"],"related_works":["https://openalex.org/W2009981605","https://openalex.org/W4211126781","https://openalex.org/W2789160648","https://openalex.org/W3092325190","https://openalex.org/W4200161533","https://openalex.org/W3202336280","https://openalex.org/W2168855186","https://openalex.org/W2144778520","https://openalex.org/W2896778670","https://openalex.org/W2004988775"],"abstract_inverted_index":{"In":[0,35],"this":[1,101,177],"paper,":[2],"we":[3,39,148],"consider":[4,40,149],"two":[5],"practical":[6,143],"coded":[7,157,194,209],"compressive":[8,158],"imaging":[9,26,47,159,203,229],"techniques.":[10],"We":[11,23,77,99,179],"investigate":[12,180],"the":[13,72,85,128,139,173,181,185,191,202],"optimal":[14,123,206],"number":[15,86,108,124,192,207],"of":[16,58,87,109,125,160,172,193,208],"measurements":[17,110,126,134,219],"under":[18],"quadratic":[19],"signal-to-noise-ratio":[20],"(SNR)":[21],"decrease.":[22],"focus":[24],"on":[25],"scenarios":[27],"in":[28,141,161,176,184,197,211,227],"both":[29],"real":[30,36],"and":[31,63,70,89,107,131,200],"complex":[32,145],"vector":[33,37,146],"spaces.":[34],"spaces,":[38,147],"focal":[41],"plane":[42],"array":[43],"(FPA)":[44],"based":[45],"super-resolution":[46],"with":[48,84,95,188],"a":[49,59,64,142],"constant":[50],"measurement":[51],"time":[52],"constraint.":[53],"Our":[54,116],"model":[55],"is":[56,121],"comprised":[57],"spatial":[60],"light":[61,74],"modulator":[62],"low":[65],"resolution":[66],"FPA":[67,97],"for":[68,103,156,169,205],"modulating":[69],"sampling":[71],"incoming":[73],"intensity,":[75],"respectively.":[76],"assume":[78],"that":[79,119,136,217,228],"signal":[80,91],"energy":[81,92],"decreases":[82,138],"linearly":[83,94],"measurements,":[88],"per-pixel":[90],"increases":[93],"reducing":[96],"resolution.":[98],"analyze":[100],"modality":[102],"different":[104,112],"sensor":[105],"sizes":[106],"at":[111],"input":[113],"SNR":[114,183],"levels.":[115],"results":[117,215],"confirm":[118],"there":[120],"an":[122],"maximizing":[127],"reconstruction":[129],"pSNR,":[130],"taking":[132],"more":[133,218],"beyond":[135],"point":[137],"performance":[140,204,226],"setting.In":[144],"Magnetic":[150],"Particle":[151],"Imaging":[152],"(MPI),":[153],"another":[154],"application":[155],"vivo":[162],"magnetic":[163],"nanoparticle":[164],"agents.":[165],"Coded":[166],"scenes":[167,195,210],"allow":[168],"fast":[170],"calibration":[171],"system":[174,198],"matrix":[175],"application.":[178],"peak":[182],"reconstructed":[186],"images":[187],"respect":[189],"to":[190],"used":[196],"calibration,":[199],"show":[201,216],"noisy":[212],"settings.":[213],"The":[214],"do":[220],"not":[221],"necessarily":[222],"translate":[223],"into":[224],"better":[225],"scenario":[230],"either.":[231]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
