{"id":"https://openalex.org/W2014280918","doi":"https://doi.org/10.1109/vtcfall.2013.6692047","title":"A Novel Algorithm to Optimize Sampling Rate for Compressed Sensing","display_name":"A Novel Algorithm to Optimize Sampling Rate for Compressed Sensing","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2014280918","doi":"https://doi.org/10.1109/vtcfall.2013.6692047","mag":"2014280918"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2013.6692047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2013.6692047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 78th Vehicular Technology Conference (VTC Fall)","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/A5100321280","display_name":"Xiaomin Liu","orcid":"https://orcid.org/0000-0001-5872-662X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaomin Liu","raw_affiliation_strings":["Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032707509","display_name":"Qixun Zhang","orcid":"https://orcid.org/0000-0003-0055-3062"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qixun Zhang","raw_affiliation_strings":["Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744546","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0002-1756-5361"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102953437","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0001-9649-9878"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001714538","display_name":"Zhiyong Feng","orcid":"https://orcid.org/0000-0001-5322-222X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Feng","raw_affiliation_strings":["Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China"],"affiliations":[{"raw_affiliation_string":"Wireless Technology Innovation Institute(WTI), Beijing University of Posts and Telecommunications, Beijing, P. R. China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, , China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100321280"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3455,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61287638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"56","issue":null,"first_page":"1","last_page":"5"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9987999796867371,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7789238691329956},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.7177713513374329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7160313129425049},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6786714196205139},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.6076713800430298},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.5462122559547424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49607881903648376},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.4760984182357788},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17784461379051208},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13377228379249573},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11084967851638794},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.10897955298423767}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7789238691329956},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.7177713513374329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7160313129425049},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6786714196205139},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6076713800430298},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.5462122559547424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49607881903648376},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.4760984182357788},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17784461379051208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13377228379249573},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11084967851638794},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.10897955298423767}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2013.6692047","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2013.6692047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 78th Vehicular Technology Conference (VTC Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1983875212","https://openalex.org/W2003688737","https://openalex.org/W2012864021","https://openalex.org/W2032922604","https://openalex.org/W2053684418","https://openalex.org/W2075031252","https://openalex.org/W2095841587","https://openalex.org/W2104266187","https://openalex.org/W2141295130"],"related_works":["https://openalex.org/W2071548530","https://openalex.org/W4387870235","https://openalex.org/W3001645640","https://openalex.org/W2543797074","https://openalex.org/W2354835911","https://openalex.org/W2006987799","https://openalex.org/W2468414543","https://openalex.org/W2081579692","https://openalex.org/W1963657899","https://openalex.org/W3000185773"],"abstract_inverted_index":{"The":[0,86,102],"fast":[1],"and":[2,73,99],"accurate":[3],"spectrum":[4,20,30,36,62,117,158],"sensing":[5,21,50,89,176],"over":[6,189],"an":[7],"ultra-wide":[8],"bandwidth":[9],"is":[10,23,52,65,79,91,105,129],"a":[11,47],"big":[12],"challenge":[13],"for":[14],"the":[15,29,34,43,56,69,83,109,116,122,126,132,138,141,145,149,164,173,180],"radio":[16],"environment":[17],"cognition.":[18],"Traditional":[19],"technique":[22,51,177],"neither":[24],"efficient":[25,67],"nor":[26],"necessary,":[27],"wasting":[28],"access":[31],"opportunities":[32],"on":[33],"vacant":[35],"holes":[37],"of":[38,134],"primary":[39],"users":[40],"(PUs).":[41],"Considering":[42],"sparse":[44],"signal":[45],"feature,":[46],"novel":[48],"compressed":[49,75,88,175],"proposed":[53,87,174],"by":[54,120],"using":[55,121,140],"minimal":[57,110],"sampling":[58,71,76,111,142,151,167,181],"rate":[59,72,77,112,143,152,182],"to":[60,81,106,114,130,137,163,183],"detect":[61],"holes,":[63],"which":[64],"more":[66],"than":[68],"Nyquist":[70],"traditional":[74],"that":[78,172],"required":[80,113],"reconstruct":[82],"original":[84],"signal.":[85],"process":[90],"divided":[92],"into":[93],"two":[94],"stages":[95],"called":[96],"approaching":[97],"stage":[98,104,128],"monitoring":[100],"stage.":[101,147],"first":[103,146],"gradually":[107],"approach":[108],"achieve":[115],"detection":[118,159,187],"performance":[119,160],"feedback":[123],"mechanism.":[124],"And":[125],"second":[127],"monitor":[131],"status":[133],"PU":[135],"according":[136],"threshold":[139],"from":[144],"Therefore,":[148],"overall":[150],"can":[153,178],"be":[154],"dramatically":[155],"reduced":[156],"without":[157],"deterioration":[161],"compared":[162],"conventional":[165],"static":[166],"algorithm.":[168],"Numerous":[169],"results":[170],"show":[171],"reduce":[179],"35%,":[184],"with":[185],"acceptable":[186],"probability":[188],"0.9.":[190]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}