{"id":"https://openalex.org/W3121601005","doi":"https://doi.org/10.1109/globecom42002.2020.9322563","title":"Cross Validation Based Adaptive Compressed Spectrum Sensing without Testing Set","display_name":"Cross Validation Based Adaptive Compressed Spectrum Sensing without Testing Set","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3121601005","doi":"https://doi.org/10.1109/globecom42002.2020.9322563","mag":"3121601005"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9322563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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/A5101744546","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-1756-5361"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Communication Research Center, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039634724","display_name":"Zihang Song","orcid":"https://orcid.org/0000-0001-9711-9785"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zihang Song","raw_affiliation_strings":["University of Surrey, Surrey, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Surrey, Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075109962","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0001-6502-9910"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["University of Surrey, Surrey, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Surrey, Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028868067","display_name":"Xuemai Gu","orcid":"https://orcid.org/0000-0002-6011-9885"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemai Gu","raw_affiliation_strings":["Communication Research Center, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Communication Research Center, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101744546"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1761,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.4918756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8596168160438538},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.8454625606536865},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.6305636167526245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6284024715423584},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5861175656318665},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5823191404342651},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5303106307983398},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4509354531764984},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42509639263153076},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.41915053129196167},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.39580586552619934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32044509053230286},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.25523847341537476},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15178170800209045},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07264244556427002}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8596168160438538},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8454625606536865},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.6305636167526245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6284024715423584},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5861175656318665},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5823191404342651},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5303106307983398},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4509354531764984},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42509639263153076},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.41915053129196167},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.39580586552619934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32044509053230286},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.25523847341537476},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15178170800209045},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07264244556427002},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom42002.2020.9322563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321979","display_name":"University of Surrey","ror":"https://ror.org/00ks66431"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2003688737","https://openalex.org/W2006554558","https://openalex.org/W2037673368","https://openalex.org/W2114129195","https://openalex.org/W2123629701","https://openalex.org/W2141116650","https://openalex.org/W2151131483","https://openalex.org/W2338392543","https://openalex.org/W2511058381","https://openalex.org/W2525312402","https://openalex.org/W2797136165","https://openalex.org/W2979659267","https://openalex.org/W2980068825","https://openalex.org/W3147249397","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2382972663","https://openalex.org/W2388133936","https://openalex.org/W3015194228","https://openalex.org/W2465351041","https://openalex.org/W1555738523","https://openalex.org/W2103001330","https://openalex.org/W2946877649","https://openalex.org/W2340242818","https://openalex.org/W2381127329"],"abstract_inverted_index":{"Compared":[0],"with":[1],"traditional":[2],"compressed":[3,7,65,80,182],"spectrum":[4,8,66,81,183],"sensing,":[5,67],"adaptive":[6,64,79,181],"sensing":[9],"can":[10],"greatly":[11],"reduce":[12,46,174],"the":[13,30,33,47,63,78,88,107,110,114,117,123,129,133,137,144,157,175,180],"sampling":[14],"rate.":[15],"However,":[16],"it":[17,96],"requires":[18],"complex":[19],"optimization":[20],"algorithms":[21],"for":[22,77,150],"signal":[23,39,119,151],"reconstruction":[24,163],"and":[25,51,171],"extra":[26,100],"samples":[27,50,101,178],"to":[28,44,105,131],"validate":[29,106],"accuracy":[31,108,115],"of":[32,49,109,116,147,167,177],"reconstructed":[34,111,118],"signal,":[35],"which":[36,125],"makes":[37],"real-time":[38],"processing":[40],"impossible.":[41],"In":[42],"order":[43,149],"further":[45],"number":[48,176],"enable":[52],"low":[53],"complexity":[54],"greedy":[55],"algorithms,":[56,170],"e.g.,":[57],"orthogonal":[58],"matching":[59],"pursuit":[60],"(OMP),":[61],"in":[62,179],"we":[68],"propose":[69],"a":[70],"cross":[71],"validation":[72],"(CV)":[73],"OMP":[74,93,169],"algorithm":[75,86,140,160],"(CV-OMP)":[76],"sensing.":[82,184],"The":[83],"proposed":[84,138,158],"CV-OMP":[85,139],"embeds":[87],"CV":[89],"process":[90],"into":[91],"an":[92],"algorithm,":[94],"so":[95,135],"does":[97,141],"not":[98,142],"require":[99,143],"as":[102,128],"testing":[103],"set":[104],"signal.":[112],"Furthermore,":[113],"is":[120,126],"verified":[121],"by":[122],"CV,":[124],"used":[127],"criterion":[130],"stop":[132],"iteration,":[134],"that":[136,156,166],"prior":[145],"knowledge":[146],"sparsity":[148],"reconstruction.":[152],"Simulation":[153],"results":[154],"indicate":[155],"CVOMP":[159],"achieves":[161],"better":[162],"performance":[164],"than":[165],"conventional":[168],"also":[172],"effectively":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}