{"id":"https://openalex.org/W2230934893","doi":"https://doi.org/10.1155/2016/9754162","title":"Feature-Based Digital Modulation Recognition Using Compressive Sampling","display_name":"Feature-Based Digital Modulation Recognition Using Compressive Sampling","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2230934893","doi":"https://doi.org/10.1155/2016/9754162","mag":"2230934893"},"language":"en","primary_location":{"id":"doi:10.1155/2016/9754162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/9754162","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/9754162.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/misy/2016/9754162.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041007168","display_name":"Zhuo Sun","orcid":"https://orcid.org/0000-0002-3333-722X"},"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":"Zhuo Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055588553","display_name":"Sese Wang","orcid":null},"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":"Sese Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000897130","display_name":"Xuantong Chen","orcid":null},"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":"Xuantong Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041007168"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":2100,"currency":"USD","value_usd":2550},"apc_paid":{"value":2100,"currency":"USD","value_usd":2550},"fwci":1.6459,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89318524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8316093683242798},{"id":"https://openalex.org/keywords/modulation","display_name":"Modulation (music)","score":0.6721799969673157},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6706777811050415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5833247900009155},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5020308494567871},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49241745471954346},{"id":"https://openalex.org/keywords/keying","display_name":"Keying","score":0.49189090728759766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4877811074256897},{"id":"https://openalex.org/keywords/quadrature-amplitude-modulation","display_name":"Quadrature amplitude modulation","score":0.4716334044933319},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.38577231764793396},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2635005712509155},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.22109666466712952},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12048235535621643},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06576135754585266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8316093683242798},{"id":"https://openalex.org/C123079801","wikidata":"https://www.wikidata.org/wiki/Q750240","display_name":"Modulation (music)","level":2,"score":0.6721799969673157},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6706777811050415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5833247900009155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5020308494567871},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49241745471954346},{"id":"https://openalex.org/C2776542216","wikidata":"https://www.wikidata.org/wiki/Q6398306","display_name":"Keying","level":2,"score":0.49189090728759766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4877811074256897},{"id":"https://openalex.org/C32409245","wikidata":"https://www.wikidata.org/wiki/Q749753","display_name":"Quadrature amplitude modulation","level":4,"score":0.4716334044933319},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.38577231764793396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2635005712509155},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.22109666466712952},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12048235535621643},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06576135754585266},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C56296756","wikidata":"https://www.wikidata.org/wiki/Q840922","display_name":"Bit error rate","level":3,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/9754162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/9754162","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/9754162.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:296d6da3950e4c9e96cf4ae9ea5835ad","is_oa":false,"landing_page_url":"https://doaj.org/article/296d6da3950e4c9e96cf4ae9ea5835ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/9754162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/9754162","pdf_url":"http://downloads.hindawi.com/journals/misy/2016/9754162.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5037589777","display_name":null,"funder_award_id":"61271181","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8355994222","display_name":null,"funder_award_id":"61171109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2230934893.pdf","grobid_xml":"https://content.openalex.org/works/W2230934893.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1660497615","https://openalex.org/W1988650030","https://openalex.org/W2005956500","https://openalex.org/W2012864021","https://openalex.org/W2023997067","https://openalex.org/W2034470681","https://openalex.org/W2063914254","https://openalex.org/W2086053808","https://openalex.org/W2108700019","https://openalex.org/W2119667497","https://openalex.org/W2142363115"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W1976264255","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W3101849977","https://openalex.org/W3046169114"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"theory":[2],"can":[3,67,143],"be":[4,68],"applied":[5],"to":[6,34],"reconstruct":[7],"the":[8,40,45,50,54,60,78,88,96,139,147],"signal":[9],"with":[10,47],"far":[11],"fewer":[12],"measurements":[13],"than":[14,39],"what":[15],"is":[16],"usually":[17],"considered":[18,126],"necessary,":[19],"while":[20],"in":[21,127,132,146],"many":[22],"scenarios,":[23],"such":[24],"as":[25],"spectrum":[26,79],"detection":[27],"and":[28,83,87,120,130],"modulation":[29,58,124,149],"recognition,":[30,59,150],"we":[31],"only":[32],"expect":[33],"acquire":[35],"useful":[36],"characteristics":[37],"rather":[38],"original":[41],"signals,":[42],"where":[43],"selecting":[44],"feature":[46,90],"sparsity":[48,104],"becomes":[49],"main":[51],"challenge.":[52],"With":[53],"aim":[55],"of":[56,80,91,95,100,111],"digital":[57,148],"paper":[61,129],"mainly":[62],"constructs":[63],"two":[64,75,140],"features":[65,76,142],"which":[66],"recovered":[69],"directly":[70],"from":[71,108],"compressive":[72],"samples.":[73],"The":[74],"are":[77,125],"received":[81,97],"data":[82],"its":[84],"nonlinear":[85],"transformation":[86],"compositional":[89],"multiple":[92,112,116,121],"high-order":[93],"moments":[94],"data;":[98],"both":[99],"them":[101],"have":[102],"desired":[103],"required":[105],"for":[106],"reconstruction":[107],"subsamples.":[109],"Recognition":[110],"frequency":[113],"shift":[114,118],"keying,":[115,119],"phase":[117],"quadrature":[122],"amplitude":[123],"our":[128],"implemented":[131],"a":[133,153],"unified":[134],"procedure.":[135],"Simulation":[136],"shows":[137],"that":[138],"identification":[141],"work":[144],"effectively":[145],"even":[151],"at":[152],"relatively":[154],"low":[155],"signal-to-noise":[156],"ratio.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}