{"id":"https://openalex.org/W1975370672","doi":"https://doi.org/10.1109/icassp.2010.5496152","title":"Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems","display_name":"Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W1975370672","doi":"https://doi.org/10.1109/icassp.2010.5496152","mag":"1975370672"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5496152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5027070160","display_name":"Gonzalo Vazquez-Vilar","orcid":"https://orcid.org/0000-0002-5793-1557"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Gonzalo Vazquez-Vilar","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024211632","display_name":"Roberto L\u00f3pez-Valcarce","orcid":"https://orcid.org/0000-0003-2876-4099"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Lopez-Valcarce","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015015984","display_name":"Carlos Mosquera","orcid":"https://orcid.org/0000-0003-1753-9961"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Mosquera","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056278281","display_name":"Nuria Gonz\u00e1lez\u2010Prelcic","orcid":"https://orcid.org/0000-0002-0828-8454"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nuria Gonzalez-Prelcic","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y las Comunicaciones, Universidad de Vigo, 36310, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027070160"],"corresponding_institution_ids":["https://openalex.org/I6289922"],"apc_list":null,"apc_paid":null,"fwci":4.0911,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93788683,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2958","last_page":"2961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/cognitive-radio","display_name":"Cognitive radio","score":0.8125412464141846},{"id":"https://openalex.org/keywords/cram\u00e9r\u2013rao-bound","display_name":"Cram\u00e9r\u2013Rao bound","score":0.8104247450828552},{"id":"https://openalex.org/keywords/wideband","display_name":"Wideband","score":0.729835033416748},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.706929087638855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550725102424622},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5949633717536926},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5399747490882874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5335012078285217},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5027287006378174},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.47358280420303345},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45337435603141785},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.43034371733665466},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4143454134464264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4038561284542084},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.36644160747528076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34869301319122314},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.312728613615036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23700618743896484},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17046445608139038},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.15096423029899597},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11780235171318054},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09405055642127991},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.08053776621818542},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07178208231925964}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.8125412464141846},{"id":"https://openalex.org/C4978587","wikidata":"https://www.wikidata.org/wiki/Q1138810","display_name":"Cram\u00e9r\u2013Rao bound","level":3,"score":0.8104247450828552},{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.729835033416748},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.706929087638855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550725102424622},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5949633717536926},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5399747490882874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5335012078285217},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5027287006378174},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.47358280420303345},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45337435603141785},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.43034371733665466},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4143454134464264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4038561284542084},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.36644160747528076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34869301319122314},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.312728613615036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23700618743896484},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17046445608139038},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.15096423029899597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11780235171318054},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09405055642127991},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.08053776621818542},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07178208231925964},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp.2010.5496152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.302.3217","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.302.3217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gonzalo-vazquez-vilar.eu/files/10icassp-compressestimation.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.396.7437","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.7437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gts.tsc.uvigo.es/gpsc/publications/mosquera/VazquezValcarceMosqueraPrelcic2010.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.892.3022","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.892.3022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0002958.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.906.934","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.906.934","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.researchgate.net/profile/Gonzalo_Vazquez-Vilar/publication/220736803_Wideband_spectral_estimation_from_compressed_measurements_exploiting_spectral_a_priori_information_in_Cognitive_Radio_systems/links/0deec516fb423bd05c000000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W590667046","https://openalex.org/W1525535255","https://openalex.org/W1965392255","https://openalex.org/W1999640431","https://openalex.org/W2003688737","https://openalex.org/W2031839259","https://openalex.org/W2096282089","https://openalex.org/W2113619848","https://openalex.org/W2160122636","https://openalex.org/W2172139273"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W2308961925","https://openalex.org/W2601968125","https://openalex.org/W4285251805","https://openalex.org/W2102910599"],"abstract_inverted_index":{"In":[0],"Cognitive":[1],"Radio":[2],"scenarios":[3],"channelization":[4],"information":[5],"from":[6,25],"primary":[7],"network":[8],"may":[9],"be":[10],"available":[11],"to":[12,88,91],"the":[13,36,46,50,55,69,75,80,100,104],"spectral":[14,22,84],"monitor.":[15],"Under":[16],"this":[17,42,58],"assumption":[18],"we":[19,60],"propose":[20],"a":[21,29,62,92],"estimation":[23,43],"algorithm":[24,66],"compressed":[26],"measurements":[27],"of":[28,35,48,54,71,103],"multichannel":[30],"wideband":[31],"signal.":[32,56],"The":[33],"analysis":[34],"Cramer-Rao":[37],"Lower":[38],"Bound":[39],"(CRLB)":[40],"for":[41],"problem":[44],"shows":[45],"importance":[47],"detecting":[49],"underlaying":[51],"sparsity":[52,101],"pattern":[53,102],"To":[57],"end":[59],"describe":[61],"Bayesian":[63],"based":[64],"iterative":[65,83],"that":[67,95],"discovers":[68],"set":[70],"active":[72],"signals":[73],"conforming":[74],"band":[76],"and":[77],"simultaneously":[78],"reconstructs":[79],"spectrum.":[81],"This":[82],"estimator":[85],"is":[86],"shown":[87],"perform":[89],"close":[90],"Genie-Aided":[93],"CRLB":[94],"includes":[96],"full":[97],"knowledge":[98],"about":[99],"channels.":[105]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
