{"id":"https://openalex.org/W1861498954","doi":"https://doi.org/10.1109/ijcnn.2003.1223909","title":"Error whitening criterion for linear filter estimation","display_name":"Error whitening criterion for linear filter estimation","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1861498954","doi":"https://doi.org/10.1109/ijcnn.2003.1223909","mag":"1861498954"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5113349896","display_name":"Y.N. Rao","orcid":"https://orcid.org/0009-0007-0238-8837"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Y.N. Rao","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Erdogmus","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C. Principe","raw_affiliation_strings":["Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Laboratory, Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng.,, Florida Univ., Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113349896"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.4381,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61226583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1447","last_page":"1452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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":0.9975000023841858,"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/mean-squared-error","display_name":"Mean squared error","score":0.6740735173225403},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6583132147789001},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5476223826408386},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.536898136138916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5061060786247253},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48431578278541565},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.47029945254325867},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4582996964454651},{"id":"https://openalex.org/keywords/stochastic-approximation","display_name":"Stochastic approximation","score":0.45630210638046265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4560603201389313},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4555439352989197},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.43676865100860596},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4244028925895691},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.408788800239563},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3293188512325287},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.32410359382629395},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.24168145656585693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21676316857337952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1494554877281189},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.0676659643650055}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6740735173225403},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6583132147789001},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5476223826408386},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.536898136138916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5061060786247253},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48431578278541565},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.47029945254325867},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4582996964454651},{"id":"https://openalex.org/C55479107","wikidata":"https://www.wikidata.org/wiki/Q97663916","display_name":"Stochastic approximation","level":3,"score":0.45630210638046265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4560603201389313},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4555439352989197},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.43676865100860596},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4244028925895691},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.408788800239563},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3293188512325287},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32410359382629395},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.24168145656585693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21676316857337952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1494554877281189},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.0676659643650055},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.7872","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.7872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/files/1163693829.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W581879180","https://openalex.org/W1492221128","https://openalex.org/W1516068997","https://openalex.org/W1543320268","https://openalex.org/W1999542175","https://openalex.org/W2138922176","https://openalex.org/W2143996874","https://openalex.org/W2165591509","https://openalex.org/W2482792214","https://openalex.org/W2798909945","https://openalex.org/W2895674046"],"related_works":["https://openalex.org/W1583991000","https://openalex.org/W2009454197","https://openalex.org/W2030139799","https://openalex.org/W2103363066","https://openalex.org/W4254402015","https://openalex.org/W2072931156","https://openalex.org/W2120604275","https://openalex.org/W4241680091","https://openalex.org/W2016248580","https://openalex.org/W2063424373"],"abstract_inverted_index":{"Mean":[0],"square":[1],"error":[2,37],"(MSE)":[3],"has":[4],"been":[5],"the":[6,13,27,43,50,59,62,78,90,104],"most":[7],"widely":[8],"used":[9],"tool":[10],"to":[11,41],"solve":[12],"linear":[14,46],"filter":[15],"estimation":[16],"or":[17],"system":[18,47],"identification":[19,48],"problem.":[20],"However,":[21],"MSE":[22,100],"gives":[23],"biased":[24],"results":[25,88],"when":[26],"input":[28],"signals":[29],"are":[30],"noisy.":[31],"This":[32],"paper":[33],"presents":[34],"a":[35],"novel":[36],"whitening":[38],"criterion":[39,64],"(EWC)":[40],"tackle":[42],"problem":[44],"of":[45,52,77,92],"in":[49],"presence":[51],"additive":[53],"white":[54],"disturbances.":[55],"We":[56,95],"would":[57],"motivate":[58],"theory":[60],"behind":[61],"new":[63],"and":[65],"derive":[66],"an":[67],"online":[68],"stochastic":[69,79],"gradient":[70,80],"algorithm":[71,81],"based":[72],"on":[73],"EWC.":[74],"Convergence":[75],"proof":[76],"is":[82],"derived":[83],"making":[84],"mild":[85],"assumptions.":[86],"Simulation":[87],"show":[89],"effectiveness":[91],"this":[93],"criterion.":[94],"compare":[96],"its":[97],"performance":[98],"with":[99],"as":[101,103],"well":[102],"powerful":[105],"total":[106],"least":[107],"squares":[108],"method.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}