{"id":"https://openalex.org/W1491170152","doi":"https://doi.org/10.1109/icassp.1980.1170851","title":"Adaptive algorithms for non-stastical parameter estimation in linear models","display_name":"Adaptive algorithms for non-stastical parameter estimation in linear models","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1491170152","doi":"https://doi.org/10.1109/icassp.1980.1170851","mag":"1491170152"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1980.1170851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1170851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. 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/A5090704822","display_name":"E. Fogel","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E. Fogel","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060511746","display_name":"Yuan Huang","orcid":"https://orcid.org/0000-0002-2044-099X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y. Huang","raw_affiliation_strings":["Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090704822"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.03484697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1022","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.988099992275238,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.988099992275238,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9711999893188477,"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/bounded-function","display_name":"Bounded function","score":0.7695093154907227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6649067401885986},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.6271157264709473},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6208930611610413},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6179141402244568},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5975503325462341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919402241706848},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5756639838218689},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.469265878200531},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4467516243457794},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4332785904407501},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43256378173828125},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.41281840205192566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3574697971343994},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.27426522970199585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21249985694885254},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14266082644462585}],"concepts":[{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.7695093154907227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6649067401885986},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6271157264709473},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6208930611610413},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6179141402244568},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5975503325462341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919402241706848},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5756639838218689},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.469265878200531},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4467516243457794},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4332785904407501},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43256378173828125},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.41281840205192566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3574697971343994},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27426522970199585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21249985694885254},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14266082644462585},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1980.1170851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1980.1170851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '80. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W578614108","https://openalex.org/W2005485125","https://openalex.org/W2163758484","https://openalex.org/W2403035479"],"related_works":["https://openalex.org/W3013085049","https://openalex.org/W2169408982","https://openalex.org/W1909999440","https://openalex.org/W1576040274","https://openalex.org/W4313681606","https://openalex.org/W899261626","https://openalex.org/W57088813","https://openalex.org/W2094241856","https://openalex.org/W50782446","https://openalex.org/W2205774088"],"abstract_inverted_index":{"A":[0],"non-statistical":[1],"approach":[2,34],"to":[3,15,41,56,105],"parameter":[4,21],"estimation":[5,43],"is":[6,49,69,78,103],"presented.":[7],"Assuming":[8],"bounded":[9,101],"noise,":[10],"two":[11],"algorithms":[12,53,86],"are":[13,24,54,87],"developed":[14],"obtain":[16],"membership":[17],"sets":[18],"in":[19,81,91],"the":[20,27,36,42,63,76,82,92,98],"space":[22],"which":[23],"consistent":[25],"with":[26],"set":[28,32],"of":[29,38,75,94,100],"measurements.":[30],"The":[31,51,84],"theoretic":[33],"enables":[35],"evaluation":[37],"information":[39],"pertaining":[40],"problem":[44],"as":[45,60,62],"a":[46],"new":[47],"measurement":[48],"obtained.":[50],"proposed":[52,85],"shown":[55],"converge":[57],"at":[58],"least":[59,64],"fast":[61],"squares":[65],"procedure.":[66],"This":[67],"performance":[68],"obtained":[70],"while":[71],"only":[72],"about":[73],"10%":[74],"data":[77],"actually":[79],"used":[80],"identification.":[83],"thus":[88],"very":[89],"attractive":[90],"context":[93],"speach":[95],"analysis":[96],"where":[97],"assumption":[99],"noise":[102],"easy":[104],"justify.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
