{"id":"https://openalex.org/W4210420882","doi":"https://doi.org/10.1109/tcsii.2022.3146935","title":"Robust Multi-Task Diffusion Least Mean M-Estimate Adaptive Algorithm and Its Performance Analysis","display_name":"Robust Multi-Task Diffusion Least Mean M-Estimate Adaptive Algorithm and Its Performance Analysis","publication_year":2022,"publication_date":"2022-01-28","ids":{"openalex":"https://openalex.org/W4210420882","doi":"https://doi.org/10.1109/tcsii.2022.3146935"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2022.3146935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2022.3146935","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","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/A5032693782","display_name":"Shaohui Lv","orcid":"https://orcid.org/0000-0002-0026-161X"},"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":"Shaohui Lv","raw_affiliation_strings":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0026-161X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","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":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0198-1384","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, 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":2.0634,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84601202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"69","issue":"4","first_page":"2386","last_page":"2390"},"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":0.9998000264167786,"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":0.9958000183105469,"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/noise","display_name":"Noise (video)","score":0.649290919303894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6261270642280579},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5892683863639832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5630384683609009},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5250099301338196},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5205115675926208},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4893626570701599},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4732035994529724},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4466898739337921},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4342797100543976},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4304676353931427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2928292751312256},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.221746563911438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14783838391304016},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14577224850654602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10140931606292725},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08082681894302368}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.649290919303894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6261270642280579},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5892683863639832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5630384683609009},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5250099301338196},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5205115675926208},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4893626570701599},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4732035994529724},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4466898739337921},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4342797100543976},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4304676353931427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2928292751312256},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.221746563911438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14783838391304016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14577224850654602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10140931606292725},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08082681894302368},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2022.3146935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2022.3146935","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"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 Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"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/G3355622118","display_name":null,"funder_award_id":"2682021ZTPY091","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"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":22,"referenced_works":["https://openalex.org/W338925043","https://openalex.org/W2024307985","https://openalex.org/W2121820607","https://openalex.org/W2130442323","https://openalex.org/W2166713810","https://openalex.org/W2168086693","https://openalex.org/W2212984315","https://openalex.org/W2522589069","https://openalex.org/W2530728613","https://openalex.org/W2551543312","https://openalex.org/W2789663101","https://openalex.org/W2792192813","https://openalex.org/W2945037883","https://openalex.org/W2962907301","https://openalex.org/W2984258237","https://openalex.org/W3014798951","https://openalex.org/W3138470791","https://openalex.org/W3165560557","https://openalex.org/W3187479824","https://openalex.org/W3191141184","https://openalex.org/W3210720055","https://openalex.org/W6730737642"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2626189183","https://openalex.org/W2050683152","https://openalex.org/W2626268514","https://openalex.org/W324331621","https://openalex.org/W1970319972","https://openalex.org/W2953254336","https://openalex.org/W2112030392"],"abstract_inverted_index":{"Multi-task":[0],"diffusion":[1,90],"LMS":[2],"(MDLMS)":[3],"is":[4,46,64,80],"an":[5],"useful":[6],"algorithm":[7,71,87],"to":[8,49,66],"infer":[9],"multiple":[10],"related":[11],"parameter":[12],"vectors":[13],"concurrently":[14],"through":[15],"the":[16,83,114,121,126,130,138,157,160,165],"cooperation":[17],"of":[18,106,120,132,141,159,167],"nodes":[19],"among":[20],"clusters.":[21],"However,":[22],"it":[23,63],"must":[24],"be":[25,34,55],"pointed":[26],"out":[27],"that":[28],"its":[29,100],"optimal":[30],"estimation":[31],"can":[32],"only":[33],"realized":[35],"under":[36,151],"Gaussian":[37],"noise.":[38,74],"In":[39],"practical":[40],"applications,":[41],"this":[42,61,97],"ideal":[43],"noise":[44,58],"environment":[45],"not":[47],"easy":[48],"meet.":[50],"For":[51],"example,":[52],"there":[53],"will":[54],"some":[56,152],"impulsive":[57,73,108],"interference.":[59,109],"At":[60],"time,":[62],"urgent":[65],"propose":[67],"a":[68],"robust":[69,85,171],"multi-task":[70,86,89,172],"against":[72],"The":[75],"modified":[76],"Huber":[77],"(MH)":[78],"function":[79],"considered":[81],"in":[82,96],"new":[84],"(i.e.,":[88],"least":[91],"mean":[92,115,117,133,135,147],"M-estimate":[93],"(MDLMM))":[94],"proposed":[95],"brief":[98],"since":[99],"simple":[101],"structure":[102],"and":[103,116,124,134,137,144,164],"outstanding":[104],"effect":[105],"restraining":[107],"After":[110],"that,":[111],"we":[112],"analyze":[113],"square":[118,148],"performance":[119],"MDLMM":[122,168],"algorithm,":[123],"give":[125],"stability":[127],"conditions":[128],"(in":[129],"sense":[131],"square)":[136],"closed-form":[139],"expressions":[140],"theoretical":[142,161],"transient":[143],"steady-state":[145],"network":[146],"derivation":[149],"(NMSD)":[150],"assumptions.":[153],"Numerical":[154],"simulations":[155],"verify":[156],"accuracy":[158],"analysis":[162],"results":[163],"superiority":[166],"over":[169],"other":[170],"algorithms.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
