{"id":"https://openalex.org/W2292639271","doi":"https://doi.org/10.1109/cdc.2015.7402223","title":"Adaptive multicoset sampling for wideband spectrum sensing based on POMDP framework","display_name":"Adaptive multicoset sampling for wideband spectrum sensing based on POMDP framework","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2292639271","doi":"https://doi.org/10.1109/cdc.2015.7402223","mag":"2292639271"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2015.7402223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7402223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th IEEE Conference on Decision and Control (CDC)","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/A5088416755","display_name":"Xiaofeng Jiang","orcid":"https://orcid.org/0000-0001-7595-2397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaofeng Jiang","raw_affiliation_strings":["Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052528706","display_name":"Zhe Ji","orcid":"https://orcid.org/0000-0001-7933-3526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Ji","raw_affiliation_strings":["Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069802328","display_name":"Hongsheng Xi","orcid":"https://orcid.org/0000-0002-5747-9732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongsheng Xi","raw_affiliation_strings":["Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100442319","display_name":"Weiping Wang","orcid":"https://orcid.org/0000-0002-6796-7596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["School of Management"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046052004","display_name":"Falin Liu","orcid":"https://orcid.org/0000-0001-6815-7133"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Falin Liu","raw_affiliation_strings":["Department of Electric engineering and Information Science, University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electric engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.20418231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"78","issue":null,"first_page":"338","last_page":"343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9983999729156494,"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/wideband","display_name":"Wideband","score":0.9176143407821655},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.7946265935897827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581806540489197},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6225164532661438},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.5546813011169434},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5036928057670593},{"id":"https://openalex.org/keywords/nyquist-frequency","display_name":"Nyquist frequency","score":0.5031968951225281},{"id":"https://openalex.org/keywords/polyphase-system","display_name":"Polyphase system","score":0.5001428127288818},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.49711039662361145},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4684560298919678},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4294833540916443},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.412077933549881},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.27576562762260437},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23313266038894653},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14374294877052307}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.9176143407821655},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.7946265935897827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581806540489197},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6225164532661438},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.5546813011169434},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5036928057670593},{"id":"https://openalex.org/C98273374","wikidata":"https://www.wikidata.org/wiki/Q1501757","display_name":"Nyquist frequency","level":3,"score":0.5031968951225281},{"id":"https://openalex.org/C96157337","wikidata":"https://www.wikidata.org/wiki/Q391639","display_name":"Polyphase system","level":2,"score":0.5001428127288818},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.49711039662361145},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4684560298919678},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4294833540916443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.412077933549881},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.27576562762260437},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23313266038894653},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14374294877052307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2015.7402223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2015.7402223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 54th IEEE Conference on Decision and Control (CDC)","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":29,"referenced_works":["https://openalex.org/W1535757228","https://openalex.org/W1576452626","https://openalex.org/W1996692478","https://openalex.org/W2055418958","https://openalex.org/W2089719995","https://openalex.org/W2102162493","https://openalex.org/W2110688863","https://openalex.org/W2114129195","https://openalex.org/W2115400030","https://openalex.org/W2116123258","https://openalex.org/W2119567691","https://openalex.org/W2120465407","https://openalex.org/W2121863487","https://openalex.org/W2124590431","https://openalex.org/W2127657607","https://openalex.org/W2129918728","https://openalex.org/W2141341167","https://openalex.org/W2149406951","https://openalex.org/W2160147848","https://openalex.org/W2168156431","https://openalex.org/W2171033527","https://openalex.org/W2296616510","https://openalex.org/W2334782222","https://openalex.org/W2484957131","https://openalex.org/W2611866857","https://openalex.org/W4205326910","https://openalex.org/W4214717370","https://openalex.org/W4250955649","https://openalex.org/W6679608192"],"related_works":["https://openalex.org/W2981006997","https://openalex.org/W3128645236","https://openalex.org/W2368043784","https://openalex.org/W1500996803","https://openalex.org/W2058893726","https://openalex.org/W2801332561","https://openalex.org/W3215214094","https://openalex.org/W1488455774","https://openalex.org/W1570358496","https://openalex.org/W2124861257"],"abstract_inverted_index":{"In":[0,48,81],"this":[1,49],"paper,":[2,50],"we":[3,51,99],"consider":[4],"the":[5,45,70,84,96,120,125,129,142,145],"problem":[6],"of":[7,13,26,73,107,144],"opportunistically":[8],"accessing":[9],"a":[10,59,101],"wide":[11],"range":[12],"frequency":[14],"band":[15],"in":[16],"which":[17,66],"multiple":[18],"subbands":[19,91],"may":[20],"be":[21,133],"occupied.":[22],"A":[23],"major":[24],"obstacle":[25],"utilizing":[27],"such":[28],"wideband":[29,46,108,126,148],"spectrum":[30,109],"is":[31,34,67],"that":[32,103],"it":[33],"either":[35],"infeasible":[36],"or":[37],"too":[38],"expansive":[39],"to":[40,69,83,94,110,140],"perform":[41],"Nyquist":[42,74],"sampling":[43,61,87,97],"on":[44,58],"signal.":[47],"propose":[52],"an":[53],"adaptive":[54,147],"sensing":[55,149],"scheme":[56],"based":[57],"sub-Nyquist":[60,86,112,130],"method":[62,102],"called":[63],"multicoset":[64],"sampling,":[65,75,113],"similar":[68],"polyphase":[71],"implementation":[72],"but":[76],"requires":[77],"less":[78],"A/D":[79],"converters.":[80],"contrast":[82],"traditional":[85],"approaches":[88],"where":[89],"all":[90],"are":[92,138],"considered":[93],"design":[95],"filters,":[98],"develop":[100],"adaptively":[104],"selects":[105],"part":[106],"do":[111],"by":[114],"exploiting":[115],"its":[116],"statistical":[117],"properties.":[118],"Therefore,":[119],"computational":[121],"overhead":[122],"for":[123],"reconstructing":[124],"signal":[127],"from":[128],"samples":[131],"can":[132],"significantly":[134],"reduced.":[135],"Simulation":[136],"results":[137],"provided":[139],"demonstrate":[141],"effectiveness":[143],"proposed":[146],"method.":[150]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}