{"id":"https://openalex.org/W2110460199","doi":"https://doi.org/10.1109/cdc.2004.1429629","title":"A set-membership approach to blind identification","display_name":"A set-membership approach to blind identification","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2110460199","doi":"https://doi.org/10.1109/cdc.2004.1429629","mag":"2110460199"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2004.1429629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2004.1429629","pdf_url":null,"source":{"id":"https://openalex.org/S4363608267","display_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","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":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","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/A5109875665","display_name":"M.C. Mazzaro","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M.C. Mazzaro","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074266892","display_name":"Mario Sznaier","orcid":"https://orcid.org/0000-0003-4439-3988"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Sznaier","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109875665"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.2858,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4659271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"113","issue":null,"first_page":"5176","last_page":"5181 Vol.5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"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":0.9954000115394592,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7952277660369873},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6621776223182678},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5843626856803894},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5837030410766602},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5745250582695007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5277873873710632},{"id":"https://openalex.org/keywords/convexity","display_name":"Convexity","score":0.5276086330413818},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5160086154937744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5022542476654053},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4823181629180908},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47286438941955566},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.42667990922927856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4025822579860687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3473879098892212},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13186106085777283}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7952277660369873},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6621776223182678},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5843626856803894},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5837030410766602},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5745250582695007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5277873873710632},{"id":"https://openalex.org/C72134830","wikidata":"https://www.wikidata.org/wiki/Q5166524","display_name":"Convexity","level":2,"score":0.5276086330413818},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5160086154937744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5022542476654053},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4823181629180908},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47286438941955566},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42667990922927856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4025822579860687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3473879098892212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13186106085777283},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2004.1429629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2004.1429629","pdf_url":null,"source":{"id":"https://openalex.org/S4363608267","display_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","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":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1496827673","https://openalex.org/W1511844883","https://openalex.org/W1896002532","https://openalex.org/W1942118557","https://openalex.org/W1965324089","https://openalex.org/W2103397414","https://openalex.org/W2121990344","https://openalex.org/W2131513089","https://openalex.org/W2142779885","https://openalex.org/W2152227259","https://openalex.org/W2161406034","https://openalex.org/W2506230130","https://openalex.org/W2569481888","https://openalex.org/W3180528316","https://openalex.org/W6641780247"],"related_works":["https://openalex.org/W1964872188","https://openalex.org/W2187391117","https://openalex.org/W1981809986","https://openalex.org/W2949367465","https://openalex.org/W2587048717","https://openalex.org/W4235203617","https://openalex.org/W2006359264","https://openalex.org/W1850281117","https://openalex.org/W2359588980","https://openalex.org/W2155632758"],"abstract_inverted_index":{"This":[0],"paper":[1,66],"addresses":[2],"the":[3,26,33,47,58,65,72,80,93,97,110,115,122],"problem":[4],"of":[5,17,28,64,71,75,82,96,124,145],"blind":[6],"identification":[7,59,103],"in":[8,68,79,142],"a":[9,14,22,39,54,111,116,133,139,143],"set":[10,123],"membership":[11],"framework.":[12],"Given":[13],"finite":[15],"collection":[16],"noisy":[18],"data":[19],"and":[20,31,51,87,114],"some":[21],"priori":[23,112],"information":[24],"about":[25],"sets":[27],"admissible":[29,125],"plants":[30],"inputs,":[32],"objective":[34],"is":[35,130],"to":[36,91,105],"(i)":[37],"identify":[38],"suitable":[40],"(model,":[41],"input)":[42],"pair":[43],"that":[44,136],"can":[45],"explain":[46],"available":[48],"experimental":[49,118],"information,":[50,119],"(ii)":[52],"provide":[53],"worst-case":[55],"bound":[56],"on":[57],"error.":[60],"The":[61,127],"main":[62],"results":[63,100],"consist":[67],"an":[69,102],"analysis":[70],"convergence":[73],"properties":[74],"any":[76],"interpolatory":[77],"algorithm":[78,129],"presence":[81],"unknown":[83],"but":[84],"bounded":[85],"inputs":[86],"noise.":[88],"In":[89],"order":[90],"overcome":[92],"non":[94],"convexity":[95],"problem,":[98],"additional":[99],"include":[101],"procedure":[104],"approximately":[106],"check":[107],"consistency":[108],"between":[109],"assumptions":[113],"posteriori":[117],"by":[120],"sampling":[121],"inputs.":[126],"proposed":[128],"illustrated":[131],"with":[132],"practical":[134],"application":[135],"involves":[137],"tracking":[138],"human":[140],"being":[141],"sequence":[144],"video":[146],"images.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}