{"id":"https://openalex.org/W2146314210","doi":"https://doi.org/10.1109/icassp.2005.1416101","title":"Kalman Filtering for Triplet Markov Chains : Applications and Extensions","display_name":"Kalman Filtering for Triplet Markov Chains : Applications and Extensions","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2146314210","doi":"https://doi.org/10.1109/icassp.2005.1416101","mag":"2146314210"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Boujemaa Ait_El_Fquih","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Boujemaa Ait_El_Fquih","raw_affiliation_strings":["GET/INT/Dept., CNRS UMR, Evry, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GET/INT/Dept., CNRS UMR, Evry, France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014563916","display_name":"Fran\u00e7ois Desbouvries","orcid":"https://orcid.org/0000-0002-2741-1569"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I135458274","display_name":"Citigroup","ror":"https://ror.org/032xgdx47","country_code":"US","type":"other","lineage":["https://openalex.org/I135458274"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"Francois Desbouvries","raw_affiliation_strings":["GET/INT/d\u00e9pt. CITI, CNRS UMR 5157, Evry, France","TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GET/INT/d\u00e9pt. CITI, CNRS UMR 5157, Evry, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I135458274"]},{"raw_affiliation_string":"TIPIC-SAMOVAR - Traitement de l'Information Pour Images et Communications (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"TSP - CITI - Communications, Images et Traitement de l'Information (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2443,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.50859616,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"685","last_page":"688"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.980400025844574,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.972100019454956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7908172607421875},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.711931049823761},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6293253302574158},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5953246355056763},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5135260224342346},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.5052455067634583},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5014855861663818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4610556364059448},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4382556974887848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42710524797439575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39952266216278076},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3903995752334595},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3361695110797882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17979153990745544},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13060182332992554},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11090129613876343},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.07848134636878967}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7908172607421875},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.711931049823761},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6293253302574158},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5953246355056763},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5135260224342346},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.5052455067634583},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5014855861663818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4610556364059448},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4382556974887848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42710524797439575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39952266216278076},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3903995752334595},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3361695110797882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17979153990745544},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13060182332992554},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11090129613876343},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.07848134636878967},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2005.1416101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04415489v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04415489","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"(ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., Mar 2005, Philadelphia, France. pp.685-688, &#x27E8;10.1109/ICASSP.2005.1416101&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W107400462","https://openalex.org/W1559536185","https://openalex.org/W1601063082","https://openalex.org/W1994311899","https://openalex.org/W2000098639","https://openalex.org/W2028565059","https://openalex.org/W2028631419","https://openalex.org/W2139855421","https://openalex.org/W2159454237","https://openalex.org/W2293807537","https://openalex.org/W4241799105","https://openalex.org/W4244361639","https://openalex.org/W4298563212","https://openalex.org/W6648778077"],"related_works":["https://openalex.org/W2614563012","https://openalex.org/W4293337373","https://openalex.org/W1968533609","https://openalex.org/W1984270607","https://openalex.org/W2151842462","https://openalex.org/W2349333549","https://openalex.org/W2116445905","https://openalex.org/W2486803649","https://openalex.org/W3140685204","https://openalex.org/W2765138172"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2],"in":[3,7],"signal":[4],"processing":[5],"consists":[6],"estimating":[8],"an":[9,19],"unobservable":[10],"process":[11,21,97],"x":[12],"=":[13,23,67],"{x/sub":[14],"n/}/sub":[15,25,69],"n/spl":[16,26,70],"epsiv/IN/":[17],"from":[18],"observed":[20],"y":[22],"{y/sub":[24],"epsiv/IN/.":[27],"In":[28,45],"linear":[29,50,91],"Gaussian":[30,51],"hidden":[31],"Markov":[32,53],"chains":[33,54],"(LGHMC),":[34],"the":[35,42,59,89,105,109],"classical":[36,90],"recursive":[37],"solution":[38],"is":[39,72,76],"given":[40],"by":[41,56],"Kalman":[43],"filter.":[44],"this":[46,84],"paper,":[47],"we":[48],"consider":[49],"triplet":[52,60],"(LGTMC)":[55],"assuming":[57],"that":[58,83],"(x,":[61],"r,":[62],"y)":[63],"(in":[64],"which":[65],"r":[66],"{r/sub":[68],"isin/N/":[71],"some":[73],"additional":[74],"process)":[75],"Markovian":[77],"and":[78,87,107],"Gaussian.":[79],"We":[80,101],"first":[81],"show":[82],"model":[85],"encompasses":[86],"generalizes":[88],"stochastic":[92],"dynamical":[93],"models":[94],"with":[95],"autoregressive":[96],"and/or":[98],"measurement":[99],"noise.":[100],"next":[102],"propose":[103],"(for":[104],"regular":[106],"for":[108,115],"perfect-measurement":[110],"cases)":[111],"restoration":[112],"Kalman-like":[113],"algorithms":[114],"general":[116],"LGTMC.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}
