{"id":"https://openalex.org/W2290253231","doi":"https://doi.org/10.1109/acssc.2015.7421216","title":"Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes","display_name":"Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2290253231","doi":"https://doi.org/10.1109/acssc.2015.7421216","mag":"2290253231"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2015.7421216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","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/A5037299270","display_name":"Kevin Wagner","orcid":"https://orcid.org/0000-0003-2843-7143"},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I4210145244","display_name":"Radar (United States)","ror":"https://ror.org/05c5a2504","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145244"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin T. Wagner","raw_affiliation_strings":["Radar Division, Naval Research Laboratory, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radar Division, Naval Research Laboratory, Washington, DC, USA","institution_ids":["https://openalex.org/I1288214837","https://openalex.org/I4210145244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042973603","display_name":"Milo\u0161 Doroslova\u010dki","orcid":"https://orcid.org/0000-0003-4101-3249"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milos I. Doroslovacki","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0049,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76999838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"671","last_page":"675"},"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":0.9991000294685364,"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":0.9991000294685364,"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/convergence","display_name":"Convergence (economics)","score":0.8370556831359863},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6453436613082886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.580091655254364},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5664270520210266},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5217191576957703},{"id":"https://openalex.org/keywords/mean-square","display_name":"Mean square","score":0.5052993893623352},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.4898805022239685},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4878580570220947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4670124650001526},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42961421608924866},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36714309453964233},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.20488619804382324},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19116070866584778},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.16194039583206177},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0750311017036438}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.8370556831359863},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6453436613082886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.580091655254364},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5664270520210266},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5217191576957703},{"id":"https://openalex.org/C2988709989","wikidata":"https://www.wikidata.org/wiki/Q85784623","display_name":"Mean square","level":2,"score":0.5052993893623352},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.4898805022239685},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4878580570220947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4670124650001526},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42961421608924866},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36714309453964233},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.20488619804382324},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19116070866584778},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.16194039583206177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0750311017036438},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2015.7421216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2015.7421216","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W2007208291","https://openalex.org/W2042664989","https://openalex.org/W2045682702","https://openalex.org/W2080522017","https://openalex.org/W2097378954","https://openalex.org/W2110482969","https://openalex.org/W2123019231","https://openalex.org/W3034805161","https://openalex.org/W4210382020","https://openalex.org/W4212997115","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W3102623159","https://openalex.org/W2314720829","https://openalex.org/W4385074335","https://openalex.org/W2366911843","https://openalex.org/W2626189183","https://openalex.org/W2166435121","https://openalex.org/W2902606351","https://openalex.org/W2899449396","https://openalex.org/W4317704182"],"abstract_inverted_index":{"A":[0,67],"noisy":[1],"node":[2],"that":[3,32,52],"is":[4,74],"the":[5,22,36,60,65],"only":[6],"passage":[7],"between":[8],"two":[9],"parts":[10],"of":[11,17,56,64,71],"a":[12,18,43,85],"network":[13],"can":[14],"obstruct":[15],"propagation":[16,55],"good":[19,57],"estimate":[20],"through":[21,59],"network.":[23,66,87],"Assuming":[24],"adapt-then-combine":[25],"diffusion":[26],"based":[27],"least":[28],"mean":[29,37,47],"square":[30,38,48],"algorithm":[31,90],"uses":[33],"combiners":[34],"minimizing":[35],"weight":[39,49],"deviations,":[40],"we":[41],"found":[42],"sufficient":[44],"condition":[45,73],"for":[46,84],"deviation":[50],"convergence":[51],"also":[53],"guarantees":[54],"estimates":[58],"whole":[61],"connected":[62],"part":[63],"practical":[68],"algorithmic":[69],"implementation":[70],"this":[72],"developed":[75],"and":[76],"compared":[77],"in":[78],"performance":[79],"with":[80],"several":[81],"known":[82],"algorithms":[83],"nontrivial":[86],"The":[88],"proposed":[89],"demonstrates":[91],"improved":[92],"performance.":[93]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
