{"id":"https://openalex.org/W1992569339","doi":"https://doi.org/10.2200/s00471ed1v01y201303spr011","title":"Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering","display_name":"Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering","publication_year":2013,"publication_date":"2013-01-25","ids":{"openalex":"https://openalex.org/W1992569339","doi":"https://doi.org/10.2200/s00471ed1v01y201303spr011","mag":"1992569339"},"language":"en","primary_location":{"id":"doi:10.2200/s00471ed1v01y201303spr011","is_oa":false,"landing_page_url":"https://doi.org/10.2200/s00471ed1v01y201303spr011","pdf_url":null,"source":{"id":"https://openalex.org/S35274427","display_name":"Synthesis lectures on signal processing","issn_l":"1932-1236","issn":["1932-1236","1932-1694"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322570","host_organization_name":"Morgan & Claypool Publishers","host_organization_lineage":["https://openalex.org/P4310322570"],"host_organization_lineage_names":["Morgan & Claypool Publishers"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Synthesis Lectures on Signal Processing","raw_type":"journal-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/A5018888863","display_name":"Marcelo G. S. Bruno","orcid":"https://orcid.org/0000-0003-2269-4018"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcelo G.S. Bruno","raw_affiliation_strings":["Instituto Tecnol\u00f3gico de Aeron\u00e1utica \u2014 ITA Brazil"],"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica \u2014 ITA Brazil","institution_ids":["https://openalex.org/I107428990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018888863"],"corresponding_institution_ids":["https://openalex.org/I107428990"],"apc_list":null,"apc_paid":null,"fwci":4.4495,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94222403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"1","first_page":"1","last_page":"99"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13553","display_name":"Age of Information Optimization","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/particle-filter","display_name":"Particle filter","score":0.7820897102355957},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6932650804519653},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.6006733775138855},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5906878709793091},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5591419339179993},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5204253792762756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5050707459449768},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4900018274784088},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4865476191043854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4777050018310547},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4702063202857971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4316681921482086},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4137720763683319},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3471793234348297},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.24597153067588806},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.17019933462142944},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06395882368087769}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7820897102355957},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6932650804519653},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.6006733775138855},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5906878709793091},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5591419339179993},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5204253792762756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5050707459449768},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4900018274784088},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4865476191043854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4777050018310547},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4702063202857971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4316681921482086},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4137720763683319},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3471793234348297},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.24597153067588806},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.17019933462142944},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06395882368087769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":2,"locations":[{"id":"doi:10.2200/s00471ed1v01y201303spr011","is_oa":false,"landing_page_url":"https://doi.org/10.2200/s00471ed1v01y201303spr011","pdf_url":null,"source":{"id":"https://openalex.org/S35274427","display_name":"Synthesis lectures on signal processing","issn_l":"1932-1236","issn":["1932-1236","1932-1694"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322570","host_organization_name":"Morgan & Claypool Publishers","host_organization_lineage":["https://openalex.org/P4310322570"],"host_organization_lineage_names":["Morgan & Claypool Publishers"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Synthesis Lectures on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:cds.cern.ch:1616897","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/1616897","pdf_url":null,"source":{"id":"https://openalex.org/S4306402194","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W116417043","https://openalex.org/W1574590662","https://openalex.org/W1578953027","https://openalex.org/W1859335678","https://openalex.org/W1965392255","https://openalex.org/W1985093013","https://openalex.org/W1989770234","https://openalex.org/W1992200270","https://openalex.org/W2032309405","https://openalex.org/W2043547735","https://openalex.org/W2046838143","https://openalex.org/W2057565703","https://openalex.org/W2061618535","https://openalex.org/W2074796812","https://openalex.org/W2077611006","https://openalex.org/W2083049644","https://openalex.org/W2085142447","https://openalex.org/W2096887879","https://openalex.org/W2097970508","https://openalex.org/W2098613108","https://openalex.org/W2099335010","https://openalex.org/W2104130465","https://openalex.org/W2105906326","https://openalex.org/W2114490950","https://openalex.org/W2117905067","https://openalex.org/W2118577483","https://openalex.org/W2119434824","https://openalex.org/W2124178852","https://openalex.org/W2126736494","https://openalex.org/W2127821072","https://openalex.org/W2128198741","https://openalex.org/W2129078811","https://openalex.org/W2129446000","https://openalex.org/W2130442323","https://openalex.org/W2131598171","https://openalex.org/W2137535742","https://openalex.org/W2140206057","https://openalex.org/W2140320333","https://openalex.org/W2158064355","https://openalex.org/W2160337655","https://openalex.org/W2162733643","https://openalex.org/W2164000999","https://openalex.org/W2166982918","https://openalex.org/W2168634963","https://openalex.org/W2169329579","https://openalex.org/W2293807537","https://openalex.org/W2294875987","https://openalex.org/W3147705998","https://openalex.org/W4206180546","https://openalex.org/W4231786831","https://openalex.org/W4255133955","https://openalex.org/W4292403327"],"related_works":["https://openalex.org/W2145647377","https://openalex.org/W2900672867","https://openalex.org/W3157383594","https://openalex.org/W2008352624","https://openalex.org/W2949310342","https://openalex.org/W2117643935","https://openalex.org/W2124156864","https://openalex.org/W2170026607","https://openalex.org/W2381817522","https://openalex.org/W2342588476"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
