{"id":"https://openalex.org/W2008898410","doi":"https://doi.org/10.1109/acssc.2013.6810548","title":"Complex proportionate-type affine projection algorithms","display_name":"Complex proportionate-type affine projection algorithms","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2008898410","doi":"https://doi.org/10.1109/acssc.2013.6810548","mag":"2008898410"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2013.6810548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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"]},{"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, Department of Electrical and Computer Engineering, Washington, 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, Department of Electrical and Computer Engineering, Washington, 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":1,"citation_normalized_percentile":{"value":0.08229989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1510","last_page":"1514"},"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":0.9984999895095825,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9976000189781189,"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":0.7425936460494995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5898697972297668},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.529003918170929},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.4830118417739868},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.48270702362060547},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4502309560775757},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4460177421569824},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4353547692298889},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4290730655193329},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.4136943519115448},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10083305835723877}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7425936460494995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5898697972297668},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.529003918170929},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.4830118417739868},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.48270702362060547},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4502309560775757},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4460177421569824},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4353547692298889},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4290730655193329},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.4136943519115448},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10083305835723877},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2013.6810548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2067489830","https://openalex.org/W2099464104","https://openalex.org/W2162053928","https://openalex.org/W2188563164","https://openalex.org/W2497136075"],"related_works":["https://openalex.org/W2038416447","https://openalex.org/W2073801174","https://openalex.org/W2354159744","https://openalex.org/W2773810497","https://openalex.org/W2077614002","https://openalex.org/W2100544925","https://openalex.org/W1965628666","https://openalex.org/W2306105624","https://openalex.org/W2482108951","https://openalex.org/W1965928613"],"abstract_inverted_index":{"An":[0],"extension":[1],"of":[2,27,39,53,61,85,94,114,121,178],"complex":[3,19,41,96,144,159],"proportionate-type":[4,20,42,97,145,160],"normalized":[5,98,161],"least":[6,99,162],"mean":[7,100,163],"square":[8,101,164],"algorithms":[9,123,165],"is":[10,35,46,104],"proposed":[11],"and":[12,65,134,166,175],"derived.":[13],"This":[14],"new":[15],"algorithm":[16,23,45,87,110,148],"called":[17],"the":[18,25,32,40,50,54,58,62,66,69,86,92,95,109,112,122,143,173,179,186,190],"affine":[21,43,146],"projection":[22,44,147],"helps":[24],"estimation":[26],"unknown":[28],"impulse":[29,63,181],"responses":[30],"when":[31],"input":[33,155],"signal":[34],"colored.":[36],"The":[37,118],"derivation":[38],"performed":[47],"by":[48],"minimizing":[49],"second":[51],"norm":[52],"weighted":[55],"difference":[56],"between":[57],"current":[59],"estimate":[60,67],"response":[64],"at":[68],"next":[70],"time":[71],"step":[72],"under":[73],"constraints":[74],"that":[75,142,167],"multiple":[76],"a":[77],"posteriori":[78],"output":[79],"errors":[80],"are":[81,88,124],"zero.":[82],"Several":[83],"variants":[84],"obtained":[89],"as":[90,183],"in":[91,111],"case":[93,113],"algorithm.":[102],"It":[103],"shown":[105],"how":[106],"to":[107,158,171,185],"use":[108],"widely":[115],"linear":[116],"systems.":[117],"learning":[119],"curves":[120],"compared":[125],"for":[126,132,153],"several":[127],"standard":[128],"gain":[129],"assignment":[130],"laws":[131],"colored":[133,154],"speech":[135],"input.":[136],"Through":[137],"simulation":[138],"it":[139],"was":[140],"demonstrated":[141],"offers":[149],"superior":[150],"convergence":[151,191],"performance":[152],"signals":[156],"relative":[157],"using":[168],"separate":[169],"gains":[170],"update":[172],"real":[174],"imaginary":[176],"parts":[177],"estimated":[180],"response,":[182],"opposed":[184],"same":[187],"gain,":[188],"improves":[189],"performance.":[192]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}