{"id":"https://openalex.org/W2401937334","doi":"https://doi.org/10.1109/icassp.2016.7472504","title":"Online adaptation of the number of particles of SMC methods","display_name":"Online adaptation of the number of particles of SMC methods","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2401937334","doi":"https://doi.org/10.1109/icassp.2016.7472504","mag":"2401937334"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7472504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5085691944","display_name":"V\u0301\u0131ctor Elvira","orcid":"https://orcid.org/0000-0002-8967-4866"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Victor Elvira","raw_affiliation_strings":["Dept. of Signal Theory and Communic., Universidad Carlos III de Madrid, Leganes, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Signal Theory and Communic., Universidad Carlos III de Madrid, Leganes, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049447262","display_name":"Joaqu\u0131\u0301n M\u0131\u0301guez","orcid":"https://orcid.org/0000-0001-5227-7253"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joaquin Miguez","raw_affiliation_strings":["School of Mathematical Sciences, Queen Mary University, London, UK"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Queen Mary University, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Dept. of Electrical and Computer Eng., Stony Brook University, Stony Brook, NY, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Eng., Stony Brook University, Stony Brook, NY, USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085691944"],"corresponding_institution_ids":["https://openalex.org/I50357001"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02504649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"140","issue":null,"first_page":"4378","last_page":"4382"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9936000108718872,"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/T11220","display_name":"Water Systems and Optimization","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/convergence","display_name":"Convergence (economics)","score":0.6882732510566711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6713703870773315},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6285830736160278},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5591762661933899},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5137373208999634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4992976188659668},{"id":"https://openalex.org/keywords/particle-number","display_name":"Particle number","score":0.459364116191864},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4167259633541107},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.41416677832603455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3708731532096863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3073677718639374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25232863426208496}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6882732510566711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6713703870773315},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6285830736160278},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5591762661933899},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5137373208999634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4992976188659668},{"id":"https://openalex.org/C74412414","wikidata":"https://www.wikidata.org/wiki/Q181155","display_name":"Particle number","level":3,"score":0.459364116191864},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4167259633541107},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.41416677832603455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3708731532096863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3073677718639374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25232863426208496},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C82706917","wikidata":"https://www.wikidata.org/wiki/Q10251","display_name":"Plasma","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7472504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7472504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W3294551","https://openalex.org/W1573874356","https://openalex.org/W1574590662","https://openalex.org/W1973876344","https://openalex.org/W2006407062","https://openalex.org/W2040196349","https://openalex.org/W2055895056","https://openalex.org/W2098613108","https://openalex.org/W2105934661","https://openalex.org/W2108755939","https://openalex.org/W2123657698","https://openalex.org/W2126736494","https://openalex.org/W2130363011","https://openalex.org/W2341285855","https://openalex.org/W4231057675","https://openalex.org/W6664154369","https://openalex.org/W6678636561","https://openalex.org/W6703951500"],"related_works":["https://openalex.org/W2015530857","https://openalex.org/W2997567050","https://openalex.org/W2556064263","https://openalex.org/W1991846142","https://openalex.org/W1583020711","https://openalex.org/W1521151968","https://openalex.org/W2347749309","https://openalex.org/W2384389541","https://openalex.org/W2475035010","https://openalex.org/W4213415732"],"abstract_inverted_index":{"Particle":[0],"filtering":[1,45],"is":[2,51,109],"a":[3,70],"widely":[4],"used":[5],"sequential":[6],"methodology":[7,72],"that":[8],"approximates":[9],"probability":[10],"distributions":[11],"by":[12],"using":[13],"discrete":[14],"random":[15],"measures":[16],"composed":[17],"of":[18,24,29,43,53,62,76,78,85,95,98,105],"weighted":[19],"particles.":[20],"A":[21],"large":[22],"number":[23,61,97],"particles":[25,63,99],"improves":[26],"the":[27,30,34,48,60,86,93,96,106],"quality":[28],"approximation":[31],"but":[32],"increases":[33],"computational":[35],"requirements.":[36],"Although":[37],"there":[38,50],"exists":[39],"an":[40,90],"abundant":[41],"variety":[42],"particle":[44,79],"algorithms":[46],"in":[47,100],"literature,":[49],"lack":[52],"work":[54],"devoted":[55],"to":[56],"selecting":[57],"or":[58],"adapting":[59],"systematically.":[64],"In":[65],"this":[66],"paper":[67],"we":[68,88],"propose":[69,89],"novel":[71],"for":[73,92,111],"online":[74,101],"assessment":[75],"convergence":[77],"filtering.":[80],"Based":[81],"on":[82],"theoretical":[83],"analysis":[84],"assessment,":[87],"algorithm":[91,108],"adaptation":[94],"manner.":[102],"The":[103],"performance":[104],"proposed":[107],"demonstrated":[110],"two":[112],"state-space":[113],"models.":[114]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}