{"id":"https://openalex.org/W1971717994","doi":"https://doi.org/10.1109/icassp.2009.4960285","title":"Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization","display_name":"Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W1971717994","doi":"https://doi.org/10.1109/icassp.2009.4960285","mag":"1971717994"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4960285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5029561892","display_name":"Masahiro Yukawa","orcid":"https://orcid.org/0000-0002-3709-275X"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masahiro Yukawa","raw_affiliation_strings":["Amari Research Unit, Brain Science Institute, RIKEN, Japan"],"affiliations":[{"raw_affiliation_string":"Amari Research Unit, Brain Science Institute, RIKEN, Japan","institution_ids":["https://openalex.org/I2800939219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004140094","display_name":"Wolfgang Utschick","orcid":"https://orcid.org/0000-0002-2871-4246"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Utschick","raw_affiliation_strings":["Associate Institute of Signal Processing, Munich University of Technology, Germany","Associate Institute for Signal Processing, Munich University of Technology, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Associate Institute of Signal Processing, Munich University of Technology, Germany","institution_ids":[]},{"raw_affiliation_string":"Associate Institute for Signal Processing, Munich University of Technology, Germany#TAB#","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029561892"],"corresponding_institution_ids":["https://openalex.org/I2800939219"],"apc_list":null,"apc_paid":null,"fwci":1.4008,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80319373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3121","last_page":"3124"},"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":0.9987000226974487,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/krylov-subspace","display_name":"Krylov subspace","score":0.9440975189208984},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6125231385231018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5880163311958313},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5828256607055664},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5395109057426453},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5292766690254211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5230756402015686},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.5161657929420471},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4980919361114502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44368234276771545},{"id":"https://openalex.org/keywords/numerical-stability","display_name":"Numerical stability","score":0.4292973577976227},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.3901483714580536},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33910784125328064},{"id":"https://openalex.org/keywords/numerical-analysis","display_name":"Numerical analysis","score":0.25931060314178467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05834418535232544}],"concepts":[{"id":"https://openalex.org/C147060835","wikidata":"https://www.wikidata.org/wiki/Q1757151","display_name":"Krylov subspace","level":3,"score":0.9440975189208984},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6125231385231018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5880163311958313},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5828256607055664},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5395109057426453},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5292766690254211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5230756402015686},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.5161657929420471},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4980919361114502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44368234276771545},{"id":"https://openalex.org/C176321772","wikidata":"https://www.wikidata.org/wiki/Q1430640","display_name":"Numerical stability","level":3,"score":0.4292973577976227},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.3901483714580536},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33910784125328064},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.25931060314178467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05834418535232544},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4960285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4960285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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":10,"referenced_works":["https://openalex.org/W1980449903","https://openalex.org/W2099464104","https://openalex.org/W2108816505","https://openalex.org/W2129629082","https://openalex.org/W2131634726","https://openalex.org/W2131961356","https://openalex.org/W2137506154","https://openalex.org/W2143643945","https://openalex.org/W3145321633","https://openalex.org/W6645223381"],"related_works":["https://openalex.org/W2323113259","https://openalex.org/W2106635645","https://openalex.org/W2074780612","https://openalex.org/W1596255161","https://openalex.org/W2032899988","https://openalex.org/W2069496135","https://openalex.org/W2524243948","https://openalex.org/W1751968827","https://openalex.org/W1966164811","https://openalex.org/W2789837637"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,24,58],"efficient":[6],"design":[7,98],"of":[8,26,38,48,52,61,103,110,118],"proportionality":[9],"factors":[10],"in":[11],"the":[12,27,50,62,96,101],"recently":[13],"established":[14],"algorithm":[15,29],"named":[16],"Krylov-proportionate":[17],"normalized":[18],"least":[19],"mean-square":[20],"(KPNLMS),":[21],"which":[22],"is":[23,55,73,90,121],"extention":[25],"PNLMS":[28],"to":[30,65,79,106],"nonsparse":[31],"(or":[32],"dispersive)":[33],"unknown":[34],"systems":[35],"by":[36],"means":[37],"a":[39,46,67,115],"Krylov":[40],"subspace.":[41],"The":[42,71],"designing":[43],"task":[44],"takes":[45],"form":[47],"minimizing":[49],"number":[51,102],"iterations":[53,104],"that":[54,95],"needed":[56,105],"for":[57],"upper":[59],"bound":[60],"system":[63,111,119],"mismatch":[64,112,120],"reach":[66],"specified":[68],"target":[69,108],"value.":[70],"minimization":[72],"performed":[74],"under":[75],"several":[76],"constraints":[77],"related":[78],"numerical":[80],"stability,":[81],"computational":[82],"requirements,":[83],"and":[84,86],"nonnegativity,":[85],"its":[87],"closed-form":[88],"solution":[89],"derived.":[91],"Numerical":[92],"examples":[93],"demonstrate":[94],"proposed":[97],"significantly":[99],"reduces":[100],"achieve":[107],"values":[109],"especially":[113],"when":[114],"low":[116],"level":[117],"required.":[122]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
