{"id":"https://openalex.org/W2585385231","doi":"https://doi.org/10.1109/glocom.2016.7842385","title":"Wideband Spectrum Reconstruction with Multicoset Sub-Nyquist Sampling and Collision Classification","display_name":"Wideband Spectrum Reconstruction with Multicoset Sub-Nyquist Sampling and Collision Classification","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2585385231","doi":"https://doi.org/10.1109/glocom.2016.7842385","mag":"2585385231"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7842385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1269062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017038926","display_name":"Raied Caromi","orcid":"https://orcid.org/0000-0002-8273-0642"},"institutions":[{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]},{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raied Caromi","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048308716","display_name":"Jae\u2010Kark Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]},{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jae-Kark Choi","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100870956","display_name":"Wen-Bin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen-Bin Yang","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077761543","display_name":"Michael R. Souryal","orcid":"https://orcid.org/0000-0003-2023-5109"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Souryal","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017038926"],"corresponding_institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"],"apc_list":null,"apc_paid":null,"fwci":0.6229,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71728127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9988999962806702,"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/wideband","display_name":"Wideband","score":0.8521862626075745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720751166343689},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.573352038860321},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5552277565002441},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.5148240923881531},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4694007933139801},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.4679972529411316},{"id":"https://openalex.org/keywords/nyquist-stability-criterion","display_name":"Nyquist stability criterion","score":0.4350171983242035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43088364601135254},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41521769762039185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36854130029678345},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.33717137575149536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21639373898506165},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.18650779128074646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13253888487815857},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1172347366809845},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10541960597038269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0865606963634491}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.8521862626075745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720751166343689},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.573352038860321},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5552277565002441},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.5148240923881531},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4694007933139801},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.4679972529411316},{"id":"https://openalex.org/C7630364","wikidata":"https://www.wikidata.org/wiki/Q1756793","display_name":"Nyquist stability criterion","level":3,"score":0.4350171983242035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43088364601135254},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41521769762039185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36854130029678345},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.33717137575149536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21639373898506165},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.18650779128074646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13253888487815857},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1172347366809845},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10541960597038269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0865606963634491},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/glocom.2016.7842385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1269062","is_oa":true,"landing_page_url":"https://zenodo.org/record/1269062","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1269062","is_oa":true,"landing_page_url":"https://zenodo.org/record/1269062","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/other"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1979717156","https://openalex.org/W2037673368","https://openalex.org/W2040367593","https://openalex.org/W2047932983","https://openalex.org/W2123629701","https://openalex.org/W2164390589","https://openalex.org/W4301491118","https://openalex.org/W6645032285"],"related_works":["https://openalex.org/W2100446824","https://openalex.org/W2362083308","https://openalex.org/W2364721613","https://openalex.org/W2091227400","https://openalex.org/W2034217801","https://openalex.org/W2028352647","https://openalex.org/W3126099788","https://openalex.org/W2352959011","https://openalex.org/W2107580648","https://openalex.org/W2087037435"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"improved":[4],"method":[5,70],"for":[6,27,46,84],"reconstructing":[7],"wideband":[8],"sparse":[9],"spectrum.":[10],"We":[11,37,52,132],"utilize":[12],"a":[13,47,54],"multicoset":[14,22],"setup":[15,23],"based":[16],"on":[17],"time":[18,74,92],"delay.":[19],"The":[20,68,88],"simple":[21,55],"is":[24,93,102],"more":[25,33],"suitable":[26],"practical":[28],"implementation":[29],"in":[30,90,119],"comparison":[31],"to":[32,59,141],"sophisticated":[34],"sub-Nyquist":[35,63],"systems.":[36],"first":[38],"introduce":[39],"the":[40,61,72,77,86,100,110,117,120,123,129,143],"general":[41],"reconstruction":[42,73],"model":[43],"that":[44],"solves":[45],"fixed":[48],"number":[49,78],"of":[50,79,122,145],"variables.":[51],"employ":[53],"machine":[56],"learning":[57],"technique":[58],"classify":[60],"aliased":[62],"bins":[64],"into":[65],"two":[66],"categories.":[67],"classification":[69,111],"reduces":[71],"by":[75],"decreasing":[76],"combinations":[80],"and":[81,137],"variables":[82],"needed":[83],"resolving":[85],"signals.":[87],"saving":[89],"solution":[91],"significant":[94],"at":[95],"low":[96],"occupancy":[97],"levels.":[98],"Furthermore,":[99],"approach":[101],"robust":[103],"against":[104],"higher":[105],"noise":[106],"levels,":[107],"because":[108],"although":[109],"accuracy":[112,121],"decreases":[113],"as":[114],"SNR":[115],"decreases,":[116],"reduction":[118],"classifier":[124],"does":[125],"not":[126],"adversely":[127],"affect":[128],"overall":[130],"detection.":[131],"define":[133],"detection":[134],"performance":[135],"metrics":[136],"provide":[138],"simulation":[139],"results":[140],"demonstrate":[142],"effectiveness":[144],"our":[146],"approach.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}