{"id":"https://openalex.org/W2128335930","doi":"https://doi.org/10.1109/icassp.2002.5743958","title":"Robust on-line Principal Component Analysis based on a fixed-point approach","display_name":"Robust on-line Principal Component Analysis based on a fixed-point approach","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2128335930","doi":"https://doi.org/10.1109/icassp.2002.5743958","mag":"2128335930"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5743958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743958","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/A5111881369","display_name":"Yadunandana N. Rao","orcid":null},"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":"Yadunandana N. Rao","raw_affiliation_strings":["Computational NeuroEngineering Lab, University of Florida, Gainesville, FL, USA","Computational Neuro Engineering Lab, University of Florida, Gainesville, 32611, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Lab, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational Neuro Engineering Lab, University of Florida, Gainesville, 32611, 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":"Jose C. Principe","raw_affiliation_strings":["Computational NeuroEngineering Lab, University of Florida, Gainesville, FL, USA","Computational Neuro Engineering Lab, University of Florida, Gainesville, 32611, USA"],"affiliations":[{"raw_affiliation_string":"Computational NeuroEngineering Lab, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Computational Neuro Engineering Lab, University of Florida, Gainesville, 32611, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111881369"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":2.269,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88073394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"43","issue":null,"first_page":"I","last_page":"981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11236","display_name":"Control Systems and Identification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8848583698272705},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7731121778488159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6887683868408203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5150082111358643},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4885879456996918},{"id":"https://openalex.org/keywords/fixed-point","display_name":"Fixed point","score":0.45932289958000183},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.44789865612983704},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43285197019577026},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3963257670402527},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28543147444725037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23524698615074158},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10634022951126099}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8848583698272705},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7731121778488159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887683868408203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5150082111358643},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4885879456996918},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.45932289958000183},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.44789865612983704},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43285197019577026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3963257670402527},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28543147444725037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23524698615074158},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10634022951126099},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2002.5743958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5743958","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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":19,"referenced_works":["https://openalex.org/W627666456","https://openalex.org/W1278167707","https://openalex.org/W1555711139","https://openalex.org/W1564660545","https://openalex.org/W1568229137","https://openalex.org/W1976045444","https://openalex.org/W2026295629","https://openalex.org/W2084134149","https://openalex.org/W2131329059","https://openalex.org/W2133515443","https://openalex.org/W2140984045","https://openalex.org/W2148394752","https://openalex.org/W2152282406","https://openalex.org/W2161997622","https://openalex.org/W2798909945","https://openalex.org/W3017143921","https://openalex.org/W6680053674","https://openalex.org/W6681755780","https://openalex.org/W6683712776"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W4380081032"],"abstract_inverted_index":{"Principal":[0],"Component":[1],"Analysis":[2],"(PCA)":[3],"is":[4],"a":[5,20,34],"widely":[6],"used":[7],"statistical":[8],"tool":[9],"in":[10],"many":[11],"signal-processing":[12],"applications.":[13],"In":[14],"this":[15],"paper":[16],"we":[17],"will":[18],"present":[19],"new":[21,30],"on-line":[22],"algorithm":[23,31,55],"for":[24],"computing":[25],"the":[26,42,46,51,54],"principal":[27],"components.":[28],"The":[29],"belongs":[32],"to":[33],"class":[35],"of":[36,45,53],"fixed-point":[37],"methods.":[38],"We":[39],"mathematically":[40],"investigate":[41],"convergence":[43],"properties":[44],"method":[47],"and":[48],"also":[49],"verify":[50],"robustness":[52],"with":[56],"simulations.":[57]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}