{"id":"https://openalex.org/W1963724995","doi":"https://doi.org/10.1109/icassp.2010.5495871","title":"Proportionate-type NLMS algorithms based on maximization of the joint conditional PDF for the weight deviation vector","display_name":"Proportionate-type NLMS algorithms based on maximization of the joint conditional PDF for the weight deviation vector","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W1963724995","doi":"https://doi.org/10.1109/icassp.2010.5495871","mag":"1963724995"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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"]},{"id":"https://openalex.org/I4388482741","display_name":"Naval Research Laboratory Radar Division","ror":"https://ror.org/03p2cen66","country_code":null,"type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028","https://openalex.org/I4388482741"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin T. Wagner","raw_affiliation_strings":["Radar Division, Naval Research Laboratory, Washington, DC, USA","Naval Research Laboratory, RADAR Division Washington, DC 20375, 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"]},{"raw_affiliation_string":"Naval Research Laboratory, RADAR Division Washington, DC 20375, USA","institution_ids":["https://openalex.org/I1288214837","https://openalex.org/I4388482741"]}]},{"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","The George Washington University, Dept. of Electrical & Computer Engineering, DC, 20052 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"]},{"raw_affiliation_string":"The George Washington University, Dept. of Electrical & Computer Engineering, DC, 20052 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":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.07767124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3738","last_page":"3741"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9941999912261963,"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/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.615934431552887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5873907804489136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5835850834846497},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5329381227493286},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.5070068836212158},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.4857676327228546},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.46746376156806946},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4656409025192261},{"id":"https://openalex.org/keywords/regular-conditional-probability","display_name":"Regular conditional probability","score":0.45818132162094116},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.4484248459339142},{"id":"https://openalex.org/keywords/conditional-variance","display_name":"Conditional variance","score":0.4339018166065216},{"id":"https://openalex.org/keywords/marginal-distribution","display_name":"Marginal distribution","score":0.4127756357192993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35967686772346497},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33485639095306396},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2354455590248108},{"id":"https://openalex.org/keywords/probability-mass-function","display_name":"Probability mass function","score":0.20280572772026062}],"concepts":[{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.615934431552887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5873907804489136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5835850834846497},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5329381227493286},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.5070068836212158},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.4857676327228546},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.46746376156806946},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4656409025192261},{"id":"https://openalex.org/C103982235","wikidata":"https://www.wikidata.org/wiki/Q7309594","display_name":"Regular conditional probability","level":4,"score":0.45818132162094116},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.4484248459339142},{"id":"https://openalex.org/C21430997","wikidata":"https://www.wikidata.org/wiki/Q5159279","display_name":"Conditional variance","level":4,"score":0.4339018166065216},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.4127756357192993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35967686772346497},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33485639095306396},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2354455590248108},{"id":"https://openalex.org/C197096303","wikidata":"https://www.wikidata.org/wiki/Q869887","display_name":"Probability mass function","level":3,"score":0.20280572772026062},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C23922673","wikidata":"https://www.wikidata.org/wiki/Q180752","display_name":"Autoregressive conditional heteroskedasticity","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5495871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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":4,"referenced_works":["https://openalex.org/W2051335509","https://openalex.org/W2133524265","https://openalex.org/W2137128366","https://openalex.org/W2153671869"],"related_works":["https://openalex.org/W2592465853","https://openalex.org/W1999592931","https://openalex.org/W4250630220","https://openalex.org/W4210738546","https://openalex.org/W4295247484","https://openalex.org/W2738649309","https://openalex.org/W4238858747","https://openalex.org/W2020323483","https://openalex.org/W2011696506","https://openalex.org/W2266856325"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,23,72,86],"proportionate-type":[6],"normalized":[7,64],"least":[8,65],"mean":[9,66],"square":[10,67],"algorithm":[11,58,68,82,89],"which":[12,90],"operates":[13],"by":[14,99],"choosing":[15],"adaptive":[16],"gains":[17],"at":[18],"each":[19],"time":[20],"step":[21],"in":[22],"manner":[24],"designed":[25],"to":[26,61,85],"maximize":[27],"the":[28,33,46,49,62,80,93,100,103,109],"joint":[29,50],"conditional":[30,52,94,105],"probability":[31,53],"that":[32,45,79,92,108],"next-step":[34],"coefficient":[35],"estimates":[36],"reach":[37],"their":[38],"optimal":[39],"values.":[40],"We":[41,76],"compare":[42],"and":[43],"show":[44,78],"performance":[47],"of":[48,102],"maximum":[51],"density":[54],"function":[55],"(PDF)":[56],"one-step":[57],"is":[59,83],"superior":[60,84],"proportionate":[63],"when":[69],"operating":[70],"on":[71],"sparse":[73],"impulse":[74],"response.":[75],"also":[77],"new":[81],"previously":[87],"introduced":[88],"assumed":[91],"PDF":[95],"could":[96],"be":[97],"represented":[98],"product":[101],"marginal":[104],"PDFs,":[106],"i.e.,":[107],"weight":[110],"deviations":[111],"are":[112],"mutually":[113],"conditionally":[114],"independent.":[115]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}