{"id":"https://openalex.org/W2904692187","doi":"https://doi.org/10.1145/3290480.3290495","title":"Identification Method of Power Spectral Signal Based on Fourier Series Fitting and Density Clustering","display_name":"Identification Method of Power Spectral Signal Based on Fourier Series Fitting and Density Clustering","publication_year":2018,"publication_date":"2018-11-02","ids":{"openalex":"https://openalex.org/W2904692187","doi":"https://doi.org/10.1145/3290480.3290495","mag":"2904692187"},"language":"en","primary_location":{"id":"doi:10.1145/3290480.3290495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290480.3290495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Communication and Network Security","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/A5102784901","display_name":"Xiaodong Bai","orcid":"https://orcid.org/0000-0001-7095-6807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaodong Bai","raw_affiliation_strings":["\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049240810","display_name":"Wendeng Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wendeng Zhu","raw_affiliation_strings":["\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445073","display_name":"Gengxin Zhang","orcid":"https://orcid.org/0000-0001-7962-6695"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gengxin Zhang","raw_affiliation_strings":["\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112538513","display_name":"Hong Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Hong","raw_affiliation_strings":["\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855660","display_name":"Laiding Zhao","orcid":"https://orcid.org/0000-0002-2275-1687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laiding Zhao","raw_affiliation_strings":["\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\"Telecommunication and networks\" National Engineering Research Center, NUPT and \"Broadband wireless communication and sensor network technology\" Key Lab of Ministry of Education, NUPT","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003645187","display_name":"Jing Hu","orcid":"https://orcid.org/0000-0001-5567-6911"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Hu","raw_affiliation_strings":["PLA University of Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA University of Science and Technology, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15053035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.7622523307800293},{"id":"https://openalex.org/keywords/window-function","display_name":"Window function","score":0.6134867072105408},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5098399519920349},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4698570966720581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44719764590263367},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.43382126092910767},{"id":"https://openalex.org/keywords/fourier-series","display_name":"Fourier series","score":0.43276768922805786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42772117257118225},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.42617395520210266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42457881569862366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4106738865375519},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36707061529159546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3511419892311096},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16076400876045227},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1111314594745636}],"concepts":[{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.7622523307800293},{"id":"https://openalex.org/C140101238","wikidata":"https://www.wikidata.org/wiki/Q1404885","display_name":"Window function","level":3,"score":0.6134867072105408},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5098399519920349},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4698570966720581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44719764590263367},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.43382126092910767},{"id":"https://openalex.org/C207864730","wikidata":"https://www.wikidata.org/wiki/Q179467","display_name":"Fourier series","level":2,"score":0.43276768922805786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42772117257118225},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42617395520210266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42457881569862366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4106738865375519},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36707061529159546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3511419892311096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16076400876045227},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1111314594745636},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290480.3290495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290480.3290495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Communication and Network Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2505215493","display_name":null,"funder_award_id":"61701260, 91738201","funder_id":"https://openalex.org/F4320335595","funder_display_name":"National Natural Science Foundation of China-Yunnan Joint Fund"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335595","display_name":"National Natural Science Foundation of China-Yunnan Joint Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2001007352","https://openalex.org/W2052107321","https://openalex.org/W2143773597","https://openalex.org/W2165232124","https://openalex.org/W2168078104","https://openalex.org/W2505399031","https://openalex.org/W2740924709","https://openalex.org/W4292003313","https://openalex.org/W6725148912"],"related_works":["https://openalex.org/W2388927876","https://openalex.org/W3102607333","https://openalex.org/W2587072315","https://openalex.org/W2094657987","https://openalex.org/W2122827492","https://openalex.org/W2320412982","https://openalex.org/W4387646299","https://openalex.org/W2384787516","https://openalex.org/W4301358223","https://openalex.org/W2139396389"],"abstract_inverted_index":{"A":[0],"method":[1,110,124],"for":[2],"obtaining":[3],"the":[4,10,20,29,36,56,61,66,72,84,92,97,101,106,108,114,128],"specific":[5,98],"usage":[6],"of":[7,100,130],"spectrum":[8,12,39,45,80,94,131],"in":[9,16],"power":[11,22,38,44,79,103],"sequence":[13],"is":[14,26,52,89],"proposed":[15,109,123,129],"this":[17],"paper.":[18],"For":[19],"obtained":[21],"spectrum,":[23],"baseline":[24],"noise":[25],"fitted":[27],"by":[28,55,81],"Fourier":[30],"series":[31],"and":[32,51,71],"then":[33],"subtracted":[34],"from":[35],"original":[37],"signal":[40,102],"value":[41],"firstly.":[42],"Afterwards,":[43],"was":[46,63,75,111],"converted":[47,76],"into":[48,77],"an":[49],"image":[50,62,74],"further":[53],"processed":[54,93],"image-filtering":[57],"method.":[58,118],"More":[59],"specifically,":[60],"mean-filtered":[64],"with":[65,113],"appropriate":[67],"window":[68],"function":[69],"template,":[70],"filtered":[73],"a":[78],"valuing":[82],"on":[83],"abscissa.":[85],"Finally,":[86],"DBSCAN":[87],"clustering":[88],"used":[90],"to":[91,95],"identify":[96],"use":[99],"spectrum.":[104],"In":[105],"experiment,":[107],"compared":[112],"classic":[115],"energy":[116],"detection":[117],"The":[119],"results":[120],"showed":[121],"that":[122],"could":[125],"well":[126],"restore":[127],"resources.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
