{"id":"https://openalex.org/W3001878811","doi":"https://doi.org/10.1109/tsp.2020.2969042","title":"Maximum Total Complex Correntropy for Adaptive Filter","display_name":"Maximum Total Complex Correntropy for Adaptive Filter","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3001878811","doi":"https://doi.org/10.1109/tsp.2020.2969042","mag":"3001878811"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.2969042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2969042","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5012795428","display_name":"Guobing Qian","orcid":"https://orcid.org/0000-0003-0470-0154"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobing Qian","raw_affiliation_strings":["Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China","School of Mathematics and Statistics, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0470-0154","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640301","display_name":"Shiyuan Wang","orcid":"https://orcid.org/0000-0002-5028-5839"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyuan Wang","raw_affiliation_strings":["Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5028-5839","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017703480","display_name":"Herbert Ho\u2010Ching Iu","orcid":"https://orcid.org/0000-0002-0687-4038"},"institutions":[{"id":"https://openalex.org/I177877127","display_name":"The University of Western Australia","ror":"https://ror.org/047272k79","country_code":"AU","type":"education","lineage":["https://openalex.org/I177877127"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Herbert H. C. Iu","raw_affiliation_strings":["School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0687-4038","affiliations":[{"raw_affiliation_string":"School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, Australia","institution_ids":["https://openalex.org/I177877127"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0246,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9492376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"68","issue":null,"first_page":"978","last_page":"989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9979000091552734,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9975000023841858,"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/adaptive-filter","display_name":"Adaptive filter","score":0.6932304501533508},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.645808219909668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5948703289031982},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5913172364234924},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5700190663337708},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5165899991989136},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5161920189857483},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47104644775390625},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4646337330341339},{"id":"https://openalex.org/keywords/adaptive-algorithm","display_name":"Adaptive algorithm","score":0.4510374665260315},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44354745745658875},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.41828033328056335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34363290667533875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33482158184051514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1462804079055786},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07306677103042603}],"concepts":[{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6932304501533508},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.645808219909668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5948703289031982},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5913172364234924},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5700190663337708},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5165899991989136},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5161920189857483},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47104644775390625},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4646337330341339},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.4510374665260315},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44354745745658875},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.41828033328056335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34363290667533875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33482158184051514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1462804079055786},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07306677103042603},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2020.2969042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.2969042","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/f5829a86-1b23-4122-9ff6-ee034c1a1f71","is_oa":false,"landing_page_url":"https://research-repository.uwa.edu.au/en/publications/f5829a86-1b23-4122-9ff6-ee034c1a1f71","pdf_url":null,"source":{"id":"https://openalex.org/S4306402492","display_name":"UWA Profiles and Research Repository (UWA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177877127","host_organization_name":"The University of Western Australia","host_organization_lineage":["https://openalex.org/I177877127"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qian , G , Wang , S & Iu , H H C 2020 , ' Maximum total complex correntropy for adaptive filter ' , IEEE Transactions on Signal Processing , vol. 68 , 8967170 , pp. 978-989 . https://doi.org/10.1109/TSP.2020.2969042","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2189274656","display_name":null,"funder_award_id":"61671389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5594423406","display_name":null,"funder_award_id":"61701419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7279913291","display_name":null,"funder_award_id":"XDJK2019B011","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8885898832","display_name":null,"funder_award_id":"XDJK2018C020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W565868953","https://openalex.org/W1482673845","https://openalex.org/W1538882755","https://openalex.org/W1701760339","https://openalex.org/W1982862833","https://openalex.org/W2007336860","https://openalex.org/W2015881065","https://openalex.org/W2044289603","https://openalex.org/W2065507124","https://openalex.org/W2082542187","https://openalex.org/W2111052925","https://openalex.org/W2135160607","https://openalex.org/W2136409657","https://openalex.org/W2528194423","https://openalex.org/W2558844075","https://openalex.org/W2561829981","https://openalex.org/W2603219125","https://openalex.org/W2619474312","https://openalex.org/W2661279125","https://openalex.org/W2743707579","https://openalex.org/W2770517446","https://openalex.org/W2770622978","https://openalex.org/W2782618922","https://openalex.org/W2795711918","https://openalex.org/W2808007965","https://openalex.org/W2895711555","https://openalex.org/W2963134661","https://openalex.org/W2963617322","https://openalex.org/W2963776804","https://openalex.org/W3024853581","https://openalex.org/W4210475733","https://openalex.org/W4230367971"],"related_works":["https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W2986378528","https://openalex.org/W3178345791","https://openalex.org/W4287867034","https://openalex.org/W2092661960","https://openalex.org/W2142924612","https://openalex.org/W3005783148","https://openalex.org/W1550854977","https://openalex.org/W4231055618"],"abstract_inverted_index":{"Nowadays,":[0],"complex":[1,12,22,41,91],"Correntropy":[2],"has":[3],"been":[4],"widely":[5],"used":[6],"for":[7],"adaptive":[8,44,84],"filtering":[9,45],"in":[10,30,127],"the":[11,16,21,28,31,35,39,50,56,62,69,77,88,98,104,112,115,120,124,128],"domain.":[13],"Compared":[14],"with":[15],"second":[17],"order":[18],"statistics":[19],"methods,":[20],"correntropy":[23,42,92],"based":[24,43,86],"algorithms":[25,46],"have":[26,47],"shown":[27],"superiority":[29],"non-Gaussian":[32],"noise,":[33],"especially":[34],"impulsive":[36],"noise.":[37,70],"However,":[38],"current":[40],"not":[48],"taken":[49],"input":[51,63],"noise":[52],"into":[53],"consideration,":[54],"and":[55,81,102,118],"performances":[57],"will":[58],"be":[59],"deteriorated":[60],"when":[61],"signals":[64],"are":[65],"also":[66],"corrupted":[67],"by":[68],"In":[71],"this":[72],"article,":[73],"we":[74,96],"focus":[75],"on":[76,87],"errors-in-variables":[78],"(EIV)":[79],"model":[80],"propose":[82,125],"an":[83],"algorithm":[85,126],"maximum":[89],"total":[90],"(MTCC).":[93],"More":[94],"importantly,":[95],"present":[97],"local":[99],"stability":[100],"analysis":[101,117],"derive":[103],"theoretical":[105,116],"weight":[106],"error":[107],"power.":[108],"Simulation":[109],"results":[110],"confirm":[111],"validity":[113],"of":[114,123],"illustrate":[119],"superior":[121],"performance":[122],"EIV":[129],"cases.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}