{"id":"https://openalex.org/W4383503632","doi":"https://doi.org/10.1109/tsmc.2023.3287406","title":"Robust Generalized Maximum Blake\u2013Zisserman Total Correntropy Adaptive Filter for Generalized Gaussian Noise and Noisy Input","display_name":"Robust Generalized Maximum Blake\u2013Zisserman Total Correntropy Adaptive Filter for Generalized Gaussian Noise and Noisy Input","publication_year":2023,"publication_date":"2023-07-07","ids":{"openalex":"https://openalex.org/W4383503632","doi":"https://doi.org/10.1109/tsmc.2023.3287406"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2023.3287406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3287406","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","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/A5050937458","display_name":"Haiquan Zhao","orcid":"https://orcid.org/0000-0003-0198-1384"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiquan Zhao","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0198-1384","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025197446","display_name":"Zian Cao","orcid":"https://orcid.org/0000-0002-4464-1040"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zian Cao","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4464-1040","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":5.6195,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.97992587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"53","issue":"11","first_page":"6757","last_page":"6765"},"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":0.9980999827384949,"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":0.9966999888420105,"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/algorithm","display_name":"Algorithm","score":0.6896963715553284},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5699863433837891},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5545600056648254},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5345465540885925},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5304571986198425},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5006227493286133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48825788497924805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4589572548866272},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.44993260502815247},{"id":"https://openalex.org/keywords/generalized-normal-distribution","display_name":"Generalized normal distribution","score":0.44110608100891113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1530834436416626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1282842457294464},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.1215033233165741}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6896963715553284},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5699863433837891},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5545600056648254},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5345465540885925},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5304571986198425},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5006227493286133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48825788497924805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4589572548866272},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.44993260502815247},{"id":"https://openalex.org/C171383496","wikidata":"https://www.wikidata.org/wiki/Q2497477","display_name":"Generalized normal distribution","level":3,"score":0.44110608100891113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1530834436416626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1282842457294464},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.1215033233165741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2023.3287406","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3287406","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2978400513","display_name":null,"funder_award_id":"2682021ZTP Y091","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3184487484","display_name":null,"funder_award_id":"62171388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514581901","display_name":"\u9ad8\u6548\u7a33\u5065\u7684\u5206\u5e03\u5f0f\u7ea6\u675f\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"61871461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6148365373","display_name":"\u591a\u6838\u81ea\u9002\u5e94\u6ee4\u6ce2\u65b0\u65b9\u6cd5\u53ca\u5e94\u7528\u7814\u7a76","funder_award_id":"61571374","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W747911303","https://openalex.org/W1992989752","https://openalex.org/W2007336860","https://openalex.org/W2052199757","https://openalex.org/W2123224804","https://openalex.org/W2135160607","https://openalex.org/W2619474312","https://openalex.org/W2683294623","https://openalex.org/W2951837999","https://openalex.org/W2967150994","https://openalex.org/W3013192954","https://openalex.org/W3024853581","https://openalex.org/W3181129515","https://openalex.org/W3187217122","https://openalex.org/W3203829400","https://openalex.org/W4205371436","https://openalex.org/W4211118645","https://openalex.org/W4226099334","https://openalex.org/W4243330440","https://openalex.org/W4281567319","https://openalex.org/W4285130584","https://openalex.org/W4296334398","https://openalex.org/W4322731287"],"related_works":["https://openalex.org/W1970319972","https://openalex.org/W2953254336","https://openalex.org/W2112030392","https://openalex.org/W2902766222","https://openalex.org/W2949870858","https://openalex.org/W2888401302","https://openalex.org/W1963914688","https://openalex.org/W2057329052","https://openalex.org/W1927749434","https://openalex.org/W2782456522"],"abstract_inverted_index":{"Currently,":[0],"the":[1,21,30,33,40,57,67,90,99,103,106,110,117,120,123,131,134],"generalized":[2,16,58,68,94],"maximum":[3,59,69],"correntropy":[4,62],"criterion":[5],"(GMCC)":[6],"is":[7,24,36,75],"extensively":[8],"used":[9],"in":[10,77],"adaptive":[11],"filtering":[12],"arithmetic":[13],"to":[14,27],"handle":[15],"Gaussian":[17,95],"noise.":[18],"However,":[19],"when":[20],"input":[22],"signal":[23],"also":[25],"subject":[26],"noise":[28,96],"interference,":[29],"performance":[31,87],"of":[32,89,105,116,122,133],"GMCC":[34,45],"algorithm":[35,64,92,125],"degraded.":[37],"In":[38],"addition,":[39],"algorithms":[41,129],"developed":[42],"based":[43,65],"on":[44,66],"standards":[46],"are":[47,137],"facing":[48],"high":[49],"steady-state":[50,111],"error":[51],"problems.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"Blake\u2013Zisserman":[60,70],"total":[61],"(GMBZTC)":[63],"(GMBZ)":[71],"robust":[72],"loss":[73],"function":[74],"proposed":[76],"this":[78,82],"article.":[79],"More":[80],"importantly,":[81],"article":[83],"gives":[84],"a":[85],"detailed":[86],"evaluation":[88],"GMBZTC":[91,124],"under":[93],"conditions,":[97],"obtains":[98],"conditions":[100],"that":[101],"guarantee":[102],"stability":[104],"algorithm,":[107],"and":[108,130],"calculates":[109],"mean":[112],"square":[113],"deviation":[114],"(S-MSD)":[115],"algorithm.":[118],"Finally,":[119],"excellence":[121],"compared":[126],"with":[127],"other":[128],"correctness":[132],"theoretical":[135],"analysis":[136],"demonstrated":[138],"by":[139],"simulation.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
