{"id":"https://openalex.org/W1997949745","doi":"https://doi.org/10.1109/icics.2011.6174217","title":"Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques","display_name":"Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W1997949745","doi":"https://doi.org/10.1109/icics.2011.6174217","mag":"1997949745"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2011.6174217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications & 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/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"M. Yukawa","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Niigata University, Japan","Dept. of Electrical and Electronic Engineering, Niigata University, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Niigata University, Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Niigata University, Japan","institution_ids":["https://openalex.org/I71395657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5029561892"],"corresponding_institution_ids":["https://openalex.org/I71395657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08263593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9969000220298767,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.8562701940536499},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.716421902179718},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.622905433177948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6225231885910034},{"id":"https://openalex.org/keywords/autocorrelation-matrix","display_name":"Autocorrelation matrix","score":0.6215289831161499},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5419898629188538},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.508639931678772},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.47622281312942505},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.46167561411857605},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.443669855594635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4369352459907532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.390217125415802},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3889022171497345},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3663966655731201},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.1674547791481018},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16269466280937195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13448205590248108},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07471325993537903},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.07326602935791016},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07083618640899658}],"concepts":[{"id":"https://openalex.org/C147060835","wikidata":"https://www.wikidata.org/wiki/Q1757151","display_name":"Krylov subspace","level":3,"score":0.8562701940536499},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.716421902179718},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.622905433177948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6225231885910034},{"id":"https://openalex.org/C4033963","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation matrix","level":3,"score":0.6215289831161499},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5419898629188538},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.508639931678772},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.47622281312942505},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.46167561411857605},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.443669855594635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4369352459907532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.390217125415802},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3889022171497345},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3663966655731201},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.1674547791481018},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16269466280937195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13448205590248108},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07471325993537903},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.07326602935791016},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07083618640899658},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2011.6174217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2011.6174217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Information, Communications & Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1506342804","https://openalex.org/W1964183649","https://openalex.org/W1986281225","https://openalex.org/W1996633320","https://openalex.org/W1997421799","https://openalex.org/W2005553562","https://openalex.org/W2016185133","https://openalex.org/W2018843852","https://openalex.org/W2069265446","https://openalex.org/W2074766480","https://openalex.org/W2093808552","https://openalex.org/W2103870658","https://openalex.org/W2106069438","https://openalex.org/W2109974986","https://openalex.org/W2110562101","https://openalex.org/W2119245762","https://openalex.org/W2124759694","https://openalex.org/W2126508692","https://openalex.org/W2131634726","https://openalex.org/W2131961356","https://openalex.org/W2133107645","https://openalex.org/W2144089439","https://openalex.org/W2144228966","https://openalex.org/W2153840470","https://openalex.org/W2163204156","https://openalex.org/W2169312695","https://openalex.org/W2316564661","https://openalex.org/W6684907377"],"related_works":["https://openalex.org/W3091226915","https://openalex.org/W2492745391","https://openalex.org/W2007192445","https://openalex.org/W2951682359","https://openalex.org/W2527533633","https://openalex.org/W1967348596","https://openalex.org/W2313872725","https://openalex.org/W2048784594","https://openalex.org/W2052532834","https://openalex.org/W2733003446"],"abstract_inverted_index":{"We":[0,18,64],"propose":[1],"a":[2,103],"novel":[3],"rank-selection":[4],"criterion":[5,73,101],"for":[6,25],"the":[7,13,26,32,40,45,48,53,57,70,72,76,81,85,89,92,99,107,111],"Krylov-subspace-based":[8],"filtering":[9],"techniques":[10],"such":[11],"as":[12],"well-known":[14],"multistage":[15],"Wiener":[16],"filter.":[17,34],"provide":[19],"two":[20,66],"necessary":[21],"and":[22,56,84,110],"sufficient":[23],"conditions":[24],"low-dimensional":[27],"Krylov":[28],"subspace":[29,41,54],"to":[30],"contain":[31],"optimal":[33],"The":[35],"first":[36,77],"condition":[37,59,78],"is":[38,42,60,91],"that":[39,98],"invariant":[43],"under":[44],"transformation":[46],"by":[47],"autocorrelation":[49],"matrix":[50],"associated":[51],"with":[52,80],"itself,":[55],"second":[58,90],"its":[61],"reverse":[62],"inclusion.":[63],"derive":[65],"criteria":[67],"based":[68,74,87],"on":[69,75,88],"conditions;":[71],"coincides":[79],"conventional":[82],"one,":[83],"one":[86],"proposed":[93,100],"one.":[94],"Simulation":[95],"results":[96],"indicate":[97],"induces":[102],"natural":[104],"relation":[105],"between":[106],"threshold":[108],"parameter":[109],"average":[112],"rank.":[113]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}