{"id":"https://openalex.org/W2764183894","doi":"https://doi.org/10.1109/lsp.2017.2761182","title":"Distributed Particle Filtering of $\\alpha$ -Stable Signals","display_name":"Distributed Particle Filtering of $\\alpha$ -Stable Signals","publication_year":2017,"publication_date":"2017-10-09","ids":{"openalex":"https://openalex.org/W2764183894","doi":"https://doi.org/10.1109/lsp.2017.2761182","mag":"2764183894"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2017.2761182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2761182","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5039156606","display_name":"Sayed Pouria Talebi","orcid":"https://orcid.org/0000-0001-5934-0817"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sayed Pouria Talebi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039156606"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":2.1453,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.90564807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"1862","last_page":"1866"},"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/T11236","display_name":"Control Systems and Identification","score":0.9954000115394592,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9954000115394592,"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/particle-filter","display_name":"Particle filter","score":0.7963248491287231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.540404736995697},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5143648386001587},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4883653521537781},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41444146633148193},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.3022800385951996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21211886405944824}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7963248491287231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.540404736995697},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5143648386001587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4883653521537781},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41444146633148193},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.3022800385951996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21211886405944824},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2017.2761182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2017.2761182","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1500762955","https://openalex.org/W1513008779","https://openalex.org/W1528184823","https://openalex.org/W1954418725","https://openalex.org/W1978189606","https://openalex.org/W1996124770","https://openalex.org/W2022894179","https://openalex.org/W2028184652","https://openalex.org/W2050386482","https://openalex.org/W2081849551","https://openalex.org/W2087988339","https://openalex.org/W2098571802","https://openalex.org/W2098863504","https://openalex.org/W2099335010","https://openalex.org/W2111476572","https://openalex.org/W2118577483","https://openalex.org/W2120007881","https://openalex.org/W2133395336","https://openalex.org/W2139137074","https://openalex.org/W2160337655","https://openalex.org/W2169329579","https://openalex.org/W2178829616","https://openalex.org/W2535832630","https://openalex.org/W2567233944","https://openalex.org/W2695232257","https://openalex.org/W3212699936","https://openalex.org/W4244375620","https://openalex.org/W6674727558"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W1989212443","https://openalex.org/W4253883008","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W2135362996","https://openalex.org/W1968585197","https://openalex.org/W2150578674","https://openalex.org/W877199042","https://openalex.org/W2122155275"],"abstract_inverted_index":{"In":[0,79],"order":[1],"to":[2,71,81,104,127],"present":[3],"an":[4,73],"inclusive":[5],"framework":[6],"for":[7,117],"distributed":[8,15,59,83,111,139],"estimation/tracking":[9],"of":[10,27,35,37,47,50,63,75,96,120,133],"\u03b1-stable":[11,121],"signals,":[12,122],"a":[13,64,131,146],"novel":[14],"particle":[16,29,52,84,112,140],"filtering":[17,30,85,113,141],"algorithm":[18,126],"is":[19,22,42,115,143],"developed.":[20],"This":[21],"achieved":[23],"through":[24,93,145],"the":[25,28,33,38,45,48,51,61,76,97,109,118,124,136],"reformulation":[26],"operations":[31,49],"from":[32],"point":[34],"view":[36],"characteristic":[39],"function":[40],"and":[41,100],"based":[43],"on":[44],"decomposition":[46],"filter":[53],"so":[54,137],"that":[55,87],"they":[56],"can":[57],"be":[58,128],"among":[60],"agents":[62],"sensor":[65],"network":[66],"while":[67],"allowing":[68,123],"each":[69],"agent":[70],"retain":[72],"estimate":[74],"state":[77],"vector.":[78],"contrast":[80],"current":[82],"techniques":[86],"approximate":[88],"distributions":[89],"with":[90,106],"Gaussian":[91],"mixtures":[92],"empirical":[94],"estimates":[95],"second-order":[98],"statics":[99],"are,":[101],"thus,":[102],"limited":[103],"signals":[105],"finite":[107],"variance,":[108],"developed":[110],"approach":[114,142],"suitable":[116],"generality":[119],"proposed":[125],"used":[129],"in":[130],"multitude":[132],"applications.":[134],"Finally,":[135],"introduced":[138],"validated":[144],"simulation":[147],"example.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
