{"id":"https://openalex.org/W3198099476","doi":"https://doi.org/10.1109/tsp52935.2021.9522645","title":"Identification of Multilinear Forms with the Tensorial Kalman Filter","display_name":"Identification of Multilinear Forms with the Tensorial Kalman Filter","publication_year":2021,"publication_date":"2021-07-26","ids":{"openalex":"https://openalex.org/W3198099476","doi":"https://doi.org/10.1109/tsp52935.2021.9522645","mag":"3198099476"},"language":"en","primary_location":{"id":"doi:10.1109/tsp52935.2021.9522645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","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/A5013729905","display_name":"Laura-Maria Dogariu","orcid":"https://orcid.org/0000-0002-5945-5179"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Laura-Maria Dogariu","raw_affiliation_strings":["University Politehnica of Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023279451","display_name":"Constantin Paleologu","orcid":"https://orcid.org/0000-0002-0379-2360"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Constantin Paleologu","raw_affiliation_strings":["University Politehnica of Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070256554","display_name":"Silviu Ciochin\u0103","orcid":"https://orcid.org/0000-0003-3982-1837"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Silviu Ciochina","raw_affiliation_strings":["University Politehnica of Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1375,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37264151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"235","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9986000061035156,"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/T11236","display_name":"Control Systems and Identification","score":0.9897000193595886,"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/multilinear-map","display_name":"Multilinear map","score":0.9668673276901245},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7726199626922607},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.6353503465652466},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6131962537765503},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5969887375831604},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5294503569602966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5270357728004456},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5161886811256409},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5129818320274353},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46615326404571533},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4480054974555969},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4311755299568176},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4307395815849304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37106943130493164},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32327181100845337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21940773725509644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09101113677024841},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.08099716901779175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0758729875087738}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.9668673276901245},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7726199626922607},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.6353503465652466},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6131962537765503},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5969887375831604},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5294503569602966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5270357728004456},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5161886811256409},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5129818320274353},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46615326404571533},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4480054974555969},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4311755299568176},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4307395815849304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37106943130493164},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32327181100845337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21940773725509644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09101113677024841},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.08099716901779175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0758729875087738},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp52935.2021.9522645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp52935.2021.9522645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 44th International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1998520805","https://openalex.org/W2061093115","https://openalex.org/W2073389244","https://openalex.org/W2119412403","https://openalex.org/W2243159438","https://openalex.org/W2531542831","https://openalex.org/W2597756865","https://openalex.org/W2766982571","https://openalex.org/W2789782314","https://openalex.org/W2792920294","https://openalex.org/W2798766386","https://openalex.org/W2805238414","https://openalex.org/W2939066948","https://openalex.org/W2946572299","https://openalex.org/W2966576268","https://openalex.org/W3138044305","https://openalex.org/W3157276546","https://openalex.org/W4230344464","https://openalex.org/W4247128071","https://openalex.org/W6790372025"],"related_works":["https://openalex.org/W1968584123","https://openalex.org/W2081837274","https://openalex.org/W2027630946","https://openalex.org/W2585650854","https://openalex.org/W1528607246","https://openalex.org/W3119704784","https://openalex.org/W2544484136","https://openalex.org/W2529395309","https://openalex.org/W2164852895","https://openalex.org/W4282823030"],"abstract_inverted_index":{"The":[0],"multilinear":[1,49],"system":[2],"identification":[3,47],"problem":[4,15],"is":[5],"usually":[6],"approached":[7],"with":[8,65],"tensors.":[9],"Recent":[10],"works":[11],"have":[12],"addressed":[13],"this":[14,36,63],"using":[16],"the":[17,30,46,72,76,80],"well-known":[18],"Wiener":[19],"filter,":[20],"as":[21,23,29],"well":[22],"some":[24],"conventional":[25],"adaptive":[26],"algorithms,":[27],"such":[28],"least-mean-square":[31],"and":[32],"recursive":[33],"least-squares.":[34],"In":[35],"paper,":[37],"we":[38,56],"derive":[39],"a":[40,59],"tensorial":[41],"Kalman":[42],"filter":[43],"designed":[44],"for":[45],"of":[48,62,79],"forms.":[50],"Furthermore,":[51],"based":[52],"on":[53],"steady-state":[54],"approximations,":[55],"also":[57],"develop":[58],"simplified":[60],"version":[61],"algorithm,":[64],"lower":[66],"computational":[67],"complexity.":[68],"Experimental":[69],"results":[70],"support":[71],"theoretical":[73],"findings,":[74],"highlighting":[75],"good":[77],"performance":[78],"proposed":[81],"solutions.":[82]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
