{"id":"https://openalex.org/W3164693368","doi":"https://doi.org/10.1109/ismict51748.2021.9434937","title":"Wiener Filter Aided Second-order Cyclostationary Feature Detection of Mixed Signals for Higher Recognition Precision","display_name":"Wiener Filter Aided Second-order Cyclostationary Feature Detection of Mixed Signals for Higher Recognition Precision","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3164693368","doi":"https://doi.org/10.1109/ismict51748.2021.9434937","mag":"3164693368"},"language":"en","primary_location":{"id":"doi:10.1109/ismict51748.2021.9434937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict51748.2021.9434937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 15th International Symposium on Medical Information and Communication Technology (ISMICT)","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/A5083527205","display_name":"Junyi Wu","orcid":"https://orcid.org/0000-0002-2509-1223"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junyi Wu","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392967","display_name":"Haotian Zhang","orcid":"https://orcid.org/0000-0003-0478-3869"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Zhang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024795113","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0002-5945-5451"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","School of Information Science and Technology, Tibet University, Lasa, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, Lasa, China","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031071245","display_name":"Zhiqiang Wu","orcid":"https://orcid.org/0000-0001-9055-5680"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]},{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wu","raw_affiliation_strings":["School of Information Science and Technology, Tibet University, Lasa, China","Wright State University, Dayton, United States"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Tibet University, Lasa, China","institution_ids":["https://openalex.org/I140786321"]},{"raw_affiliation_string":"Wright State University, Dayton, United States","institution_ids":["https://openalex.org/I19648265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083527205"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05327924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9988999962806702,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cyclostationary-process","display_name":"Cyclostationary process","score":0.8428781032562256},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.7562031745910645},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6199324727058411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6029470562934875},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5782523155212402},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5286928415298462},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.46126773953437805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4501514136791229},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42518073320388794},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41654840111732483},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4080233573913574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3907110095024109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37595927715301514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2934800386428833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16294223070144653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1221361756324768},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10798466205596924}],"concepts":[{"id":"https://openalex.org/C178351263","wikidata":"https://www.wikidata.org/wiki/Q3922399","display_name":"Cyclostationary process","level":3,"score":0.8428781032562256},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.7562031745910645},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6199324727058411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6029470562934875},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5782523155212402},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5286928415298462},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.46126773953437805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4501514136791229},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42518073320388794},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41654840111732483},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4080233573913574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3907110095024109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37595927715301514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2934800386428833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16294223070144653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1221361756324768},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10798466205596924},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismict51748.2021.9434937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismict51748.2021.9434937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 15th International Symposium on Medical Information and Communication Technology (ISMICT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W568232992","https://openalex.org/W2015484932","https://openalex.org/W2034776402","https://openalex.org/W2043617317","https://openalex.org/W2066334141","https://openalex.org/W2070887819","https://openalex.org/W2084732656","https://openalex.org/W2113131123","https://openalex.org/W2129568743","https://openalex.org/W2303264489","https://openalex.org/W6616139189"],"related_works":["https://openalex.org/W2989722180","https://openalex.org/W2766980450","https://openalex.org/W2923947565","https://openalex.org/W2591816639","https://openalex.org/W2363395155","https://openalex.org/W2276822462","https://openalex.org/W1986055485","https://openalex.org/W2810091721","https://openalex.org/W2094499330","https://openalex.org/W4247791375"],"abstract_inverted_index":{"The":[0],"cyclostationary":[1],"analysis":[2,88],"has":[3],"been":[4],"used":[5],"to":[6,28,33,54,79,132],"detect":[7],"mixed":[8,41,70,101,121],"signals":[9,18,71],"for":[10],"recognizing":[11],"signals.":[12,61],"However,":[13],"the":[14,20,30,35,40,51,56,65,74,90,94,97,104,107,116,120,134,137,141,145,149,156,161],"noises":[15],"existent":[16,58],"in":[17,59],"lower":[19],"recognition":[21],"precision.":[22,44],"In":[23,45],"this":[24],"paper,":[25],"we":[26,48,63,85,129],"propose":[27],"utilize":[29,50],"Wiener":[31,52,117,162],"filter":[32,53],"reduce":[34],"noise":[36,57,108],"variance,":[37],"thereby":[38],"improving":[39],"signal":[42,122],"detection":[43,91,123,146,151],"our":[46],"de-sign,":[47],"first":[49],"suppress":[55],"received":[60],"Then":[62],"extract":[64],"statistical":[66],"spectral":[67,75],"characteristics":[68],"of":[69,89,96,100,136,148],"by":[72,114],"calculating":[73],"correlation":[76],"function":[77],"(SCF)":[78],"identify":[80],"different":[81],"modulation":[82],"types.":[83],"Moreover,":[84],"provide":[86],"theoretical":[87],"performances,":[92],"including":[93],"derivation":[95],"autocorrelation":[98],"functions":[99],"signals,":[102],"and":[103,140],"proof":[105],"that":[106,144],"variance":[109],"could":[110,125],"be":[111,126],"effectively":[112],"reduced":[113],"applying":[115],"filter.":[118,163],"Consequently,":[119],"precision":[124,147],"improved.":[127],"Furthermore,":[128],"conduct":[130],"simulations":[131],"verify":[133],"effectiveness":[135],"proposed":[138,150],"design,":[139],"results":[142],"demonstrate":[143],"scheme":[152],"is":[153],"higher":[154],"than":[155],"counterpart":[157],"system":[158],"without":[159],"using":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
