{"id":"https://openalex.org/W4415708588","doi":"https://doi.org/10.1109/icme59968.2025.11209271","title":"Time-Series Anomaly Detection Method Based on Frequency-Domain Decoupling and Correction","display_name":"Time-Series Anomaly Detection Method Based on Frequency-Domain Decoupling and Correction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708588","doi":"https://doi.org/10.1109/icme59968.2025.11209271"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5067606952","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5994-4407"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Niu","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031483377","display_name":"Enyuan Zhao","orcid":"https://orcid.org/0000-0002-2909-4317"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enyuan Zhao","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058652390","display_name":"Jie Nie","orcid":"https://orcid.org/0000-0003-4952-7666"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Nie","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073267693","display_name":"Min Ye","orcid":"https://orcid.org/0000-0002-8301-5843"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Ye","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032859417","display_name":"Shusong Yu","orcid":"https://orcid.org/0000-0003-1554-5313"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shusong Yu","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069127252","display_name":"Xinyue Liang","orcid":"https://orcid.org/0000-0003-4406-536X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Liang","raw_affiliation_strings":["Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China"],"affiliations":[{"raw_affiliation_string":"Ocean University of China,Faculty of Information Science and Engineering,Qingdao,China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067606952"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":2.8331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92914621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6272000074386597,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.6272000074386597,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.16110000014305115,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.022099999710917473,"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/robustness","display_name":"Robustness (evolution)","score":0.632099986076355},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6265000104904175},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.5899999737739563},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5821999907493591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45260000228881836},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4374000132083893},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.3804999887943268},{"id":"https://openalex.org/keywords/frequency-spectrum","display_name":"Frequency spectrum","score":0.37119999527931213}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.632099986076355},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6265000104904175},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.5899999737739563},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44510000944137573},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.435699999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4065000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39590001106262207},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C122381330","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Frequency spectrum","level":3,"score":0.37119999527931213},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C57747864","wikidata":"https://www.wikidata.org/wiki/Q7180948","display_name":"Phase distortion","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.30090001225471497},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.2935999929904938},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2630999982357025},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2031366272","https://openalex.org/W2154664200","https://openalex.org/W2743617586","https://openalex.org/W2766761849","https://openalex.org/W2780330901","https://openalex.org/W2785362611","https://openalex.org/W2897379713","https://openalex.org/W2948517885","https://openalex.org/W2991510021","https://openalex.org/W3093253286","https://openalex.org/W3109037541","https://openalex.org/W3119299902","https://openalex.org/W3128634608","https://openalex.org/W3177318507","https://openalex.org/W4285176337","https://openalex.org/W4289866548","https://openalex.org/W4300003314","https://openalex.org/W4306317275","https://openalex.org/W4382026028","https://openalex.org/W4391054939","https://openalex.org/W4396757510","https://openalex.org/W4400489811"],"related_works":[],"abstract_inverted_index":{"The":[0,63,136],"widespread":[1],"application":[2],"of":[3,15,112,147,157],"time-series":[4,53],"data":[5],"has":[6],"raised":[7],"higher":[8],"demands":[9],"for":[10,104],"the":[11,28,35,77,81,96,109,116,124,145,153],"accuracy":[12,154],"and":[13,40,61,71,88,119,132,150,155],"robustness":[14,156],"anomaly":[16,19,54,158],"detection.":[17,159],"Traditional":[18],"detection":[20,44,55],"methods":[21],"rely":[22],"on":[23,58],"space-frequency":[24],"perception":[25,146],"techniques,":[26],"expanding":[27],"receptive":[29],"field":[30],"through":[31],"frequency-domain":[32,59,105,142,148],"transformations.":[33],"However,":[34],"feature":[36,93],"confusion":[37],"between":[38],"amplitude":[39,87,118],"phase":[41,89,120],"spectra":[42],"limits":[43],"performance.":[45],"To":[46],"address":[47],"this":[48],"issue,":[49],"we":[50,84],"propose":[51],"a":[52,102,140],"method":[56,64,138],"based":[57],"decoupling":[60,70],"correction.":[62,74],"incorporates":[65],"two":[66],"core":[67],"designs:":[68],"amplitude-phase":[69],"spectral":[72,97],"centroid":[73,98],"By":[75],"separating":[76],"complex":[78],"space":[79],"in":[80],"frequency":[82,113],"domain,":[83],"independently":[85],"model":[86],"information":[90],"to":[91,107,126],"avoid":[92],"confusion.":[94],"Subsequently,":[95],"is":[99],"introduced":[100],"as":[101],"basis":[103],"correction":[106],"measure":[108],"energy":[110],"distribution":[111],"components,":[114],"adjusting":[115],"decoupled":[117],"components.":[121],"This":[122],"enables":[123],"spectrum":[125],"more":[127],"accurately":[128],"reflect":[129],"signal":[130],"characteristics":[131],"reduces":[133],"noise":[134],"interference.":[135],"proposed":[137],"provides":[139],"finer-grained":[141],"perspective,":[143],"enhances":[144],"information,":[149],"significantly":[151],"improves":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}