{"id":"https://openalex.org/W2208600237","doi":"https://doi.org/10.1109/eusipco.2015.7362584","title":"A sequential Monte Carlo approximation of the HISP filter","display_name":"A sequential Monte Carlo approximation of the HISP filter","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2208600237","doi":"https://doi.org/10.1109/eusipco.2015.7362584","mag":"2208600237"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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/A5040820835","display_name":"J\u00e9r\u00e9mie Houssineau","orcid":"https://orcid.org/0000-0001-8235-0239"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeremie Houssineau","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074908755","display_name":"Daniel E. Clark","orcid":"https://orcid.org/0000-0002-0218-7994"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel E. Clark","raw_affiliation_strings":["Heriot-Watt University, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heriot-Watt University, Edinburgh, UK","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044731110","display_name":"Pierre Del Moral","orcid":"https://orcid.org/0000-0003-1151-6662"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pierre Del Moral","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7807,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89011422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1251","last_page":"1255"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9865000247955322,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.807965874671936},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6995832324028015},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6397384405136108},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5550329685211182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5470120310783386},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5098504424095154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4970386326313019},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49063292145729065},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4875151813030243},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.44510504603385925},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4222824275493622},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.4128928482532501},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.3826664686203003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3635021448135376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2486048936843872},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21095609664916992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1827392280101776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09347838163375854},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0812787115573883}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.807965874671936},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6995832324028015},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6397384405136108},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5550329685211182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5470120310783386},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5098504424095154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4970386326313019},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49063292145729065},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4875151813030243},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.44510504603385925},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4222824275493622},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.4128928482532501},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.3826664686203003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3635021448135376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2486048936843872},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21095609664916992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1827392280101776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09347838163375854},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0812787115573883},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:wrap.warwick.ac.uk:113812","is_oa":false,"landing_page_url":"http://wrap.warwick.ac.uk/113812/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W568632016","https://openalex.org/W1557595030","https://openalex.org/W1605111190","https://openalex.org/W2014787937","https://openalex.org/W2038332719","https://openalex.org/W2080189884","https://openalex.org/W2126736494","https://openalex.org/W2126885789","https://openalex.org/W2145555609","https://openalex.org/W2161435744","https://openalex.org/W2744689969","https://openalex.org/W6633511732","https://openalex.org/W6636175130","https://openalex.org/W6683781877"],"related_works":["https://openalex.org/W4252024964","https://openalex.org/W2119007379","https://openalex.org/W4253883008","https://openalex.org/W4206024512","https://openalex.org/W2525014937","https://openalex.org/W2103062922","https://openalex.org/W1585960250","https://openalex.org/W2162299404","https://openalex.org/W2341297234","https://openalex.org/W2014787281"],"abstract_inverted_index":{"A":[0],"formulation":[1],"of":[2,17,27,41,53,81],"the":[3,15,25,39,42,47,51,67,79],"hypothesised":[4],"filter":[5,89],"for":[6,45,66],"independent":[7],"stochastic":[8],"populations":[9],"(hisp)":[10],"is":[11,21,36,58,84],"proposed,":[12],"based":[13,94],"on":[14,24,91,95],"concept":[16],"association":[18,43,76],"measure,":[19],"which":[20],"a":[22,33,61,73,87,96],"measure":[23,44],"set":[26],"observation":[28],"histories.":[29],"Using":[30],"this":[31,82],"formulation,":[32],"particle":[34,75],"approximation":[35,57],"introduced":[37],"at":[38],"level":[40],"handling":[46],"exponential":[48],"growth":[49],"in":[50],"number":[52],"underlying":[54,68],"hypotheses.":[55],"This":[56],"combined":[59],"with":[60],"sequential":[62],"Monte":[63],"Carlo":[64],"implementation":[65,90],"single-object":[69],"distributions":[70],"to":[71],"form":[72],"mixed":[74],"model.":[77],"Finally,":[78],"performance":[80],"approach":[83],"compared":[85],"against":[86],"Kalman":[88],"simulated":[92],"data":[93],"finite-resolution":[97],"sensor.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}