{"id":"https://openalex.org/W2139627682","doi":"https://doi.org/10.1109/iceee.2013.6676058","title":"Iterative algorithms for unbiased FIR state estimation in discrete time","display_name":"Iterative algorithms for unbiased FIR state estimation in discrete time","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2139627682","doi":"https://doi.org/10.1109/iceee.2013.6676058","mag":"2139627682"},"language":"en","primary_location":{"id":"doi:10.1109/iceee.2013.6676058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2013.6676058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5058205797","display_name":"Yuriy S. Shmaliy","orcid":"https://orcid.org/0000-0001-6848-453X"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuriy S. Shmaliy","raw_affiliation_strings":["Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","Department of Electronics Engineering, Universidad de Guanajuato, Ctra. Salamanca-Valle, 3.5+1.8km, Palo-Blanco, 36855, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Ctra. Salamanca-Valle, 3.5+1.8km, Palo-Blanco, 36855, Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019862542","display_name":"Dan Simon","orcid":"https://orcid.org/0000-0002-1289-4000"},"institutions":[{"id":"https://openalex.org/I102607778","display_name":"Cleveland State University","ror":"https://ror.org/002tx1f22","country_code":"US","type":"education","lineage":["https://openalex.org/I102607778"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Simon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, USA","Dept. of Electr. & Comput. Eng, Cleveland State Univ., Cleveland, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH, USA","institution_ids":["https://openalex.org/I102607778"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Cleveland State Univ., Cleveland, OH, USA","institution_ids":["https://openalex.org/I102607778"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11875344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"48","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.996999979019165,"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":0.9939000010490417,"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/smoothing","display_name":"Smoothing","score":0.6792809367179871},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6715696454048157},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.645908772945404},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6379059553146362},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6111648678779602},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5430994629859924},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5359019041061401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5352782607078552},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5052431225776672},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.479207843542099},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4365690350532532},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43354320526123047},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4238567054271698},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.41491252183914185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3978346884250641},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3242349624633789},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24606472253799438},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20899519324302673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13921067118644714}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6792809367179871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6715696454048157},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.645908772945404},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6379059553146362},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6111648678779602},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5430994629859924},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5359019041061401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5352782607078552},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5052431225776672},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.479207843542099},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4365690350532532},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43354320526123047},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4238567054271698},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.41491252183914185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3978346884250641},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3242349624633789},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24606472253799438},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20899519324302673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13921067118644714},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iceee.2013.6676058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2013.6676058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.4637","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.4637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://academic.csuohio.edu/simond/pubs/Shmaliy2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W578614108","https://openalex.org/W615449195","https://openalex.org/W1531532259","https://openalex.org/W1592003224","https://openalex.org/W1594194163","https://openalex.org/W1965986641","https://openalex.org/W1969247718","https://openalex.org/W1998914394","https://openalex.org/W2005817745","https://openalex.org/W2008260828","https://openalex.org/W2012090168","https://openalex.org/W2017954934","https://openalex.org/W2026117972","https://openalex.org/W2031512523","https://openalex.org/W2032451263","https://openalex.org/W2038932552","https://openalex.org/W2053468923","https://openalex.org/W2062362926","https://openalex.org/W2065768901","https://openalex.org/W2068700522","https://openalex.org/W2074608686","https://openalex.org/W2090557977","https://openalex.org/W2099574697","https://openalex.org/W2102047877","https://openalex.org/W2105934661","https://openalex.org/W2115038301","https://openalex.org/W2121862127","https://openalex.org/W2122512809","https://openalex.org/W2128519721","https://openalex.org/W2131059677","https://openalex.org/W2137674749","https://openalex.org/W2139251171","https://openalex.org/W2140056077","https://openalex.org/W2160793474","https://openalex.org/W2238582461","https://openalex.org/W2502276222","https://openalex.org/W2503900448","https://openalex.org/W2790374560","https://openalex.org/W3127198975","https://openalex.org/W4256197952","https://openalex.org/W6616598529","https://openalex.org/W6619330937","https://openalex.org/W6678361441","https://openalex.org/W6789940270"],"related_works":["https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2157134024","https://openalex.org/W2985488186","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2064270814","https://openalex.org/W3143566216","https://openalex.org/W2571655022"],"abstract_inverted_index":{"Various":[0],"iterative":[1],"unbiased":[2],"finite":[3],"impulse":[4],"response":[5],"(UFIR)":[6],"algorithms":[7,28],"are":[8,33],"discussed":[9],"for":[10,43],"filtering,":[11],"smoothing,":[12],"and":[13,54],"prediction":[14],"of":[15,26],"discrete-time":[16],"state-space":[17],"models":[18],"in":[19],"white":[20],"Gaussian":[21],"noise.":[22],"The":[23],"distinctive":[24],"property":[25],"UFIR":[27,59],"is":[29,41],"that":[30],"noise":[31,56],"statistics":[32],"completely":[34],"ignored.":[35],"Instead,":[36],"an":[37],"optimal":[38,44],"window":[39,72],"size":[40],"required":[42],"performance.":[45],"Under":[46],"real-world":[47],"operating":[48],"conditions":[49],"with":[50,70],"uncertainties,":[51],"non-Gaussian":[52],"noise,":[53],"unknown":[55],"statistics,":[57],"the":[58,66],"estimator":[60],"generally":[61],"demonstrates":[62],"better":[63],"robustness":[64],"than":[65],"Kalman":[67],"filter,":[68],"even":[69],"suboptimal":[71],"size.":[73]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}