{"id":"https://openalex.org/W2092921409","doi":"https://doi.org/10.1109/cdc.2013.6761007","title":"Nonlinear Compressive Particle Filtering","display_name":"Nonlinear Compressive Particle Filtering","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2092921409","doi":"https://doi.org/10.1109/cdc.2013.6761007","mag":"2092921409"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2013.6761007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2013.6761007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"52nd IEEE Conference on Decision and Control","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/A5107841185","display_name":"Henrik Ohlsson","orcid":"https://orcid.org/0000-0001-5521-9833"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Henrik Ohlsson","raw_affiliation_strings":["University of California, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003504954","display_name":"Michel Verhaegen","orcid":"https://orcid.org/0000-0002-7967-6884"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Michel Verhaegen","raw_affiliation_strings":["Delft Center for Systems and Control, Delft University, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft Center for Systems and Control, Delft University, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103101043","display_name":"S. Shankar Sastry","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Shankar Sastry","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107841185"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":0.691,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72534927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"7054","last_page":"7059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/compressed-sensing","display_name":"Compressed sensing","score":0.90285724401474},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6800707578659058},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6539271473884583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5454285144805908},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5189118981361389},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4630022346973419},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.42363056540489197},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4093775749206543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33284980058670044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27851369976997375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2458307147026062},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18969666957855225},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13843268156051636}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.90285724401474},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6800707578659058},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6539271473884583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5454285144805908},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5189118981361389},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4630022346973419},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.42363056540489197},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4093775749206543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33284980058670044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27851369976997375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2458307147026062},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18969666957855225},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13843268156051636},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2013.6761007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2013.6761007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"52nd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.5600000023841858,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1586130465","https://openalex.org/W1600022730","https://openalex.org/W1602634287","https://openalex.org/W1891381584","https://openalex.org/W1976709621","https://openalex.org/W2002963485","https://openalex.org/W2003959193","https://openalex.org/W2022462155","https://openalex.org/W2066268967","https://openalex.org/W2073614582","https://openalex.org/W2077377823","https://openalex.org/W2077647472","https://openalex.org/W2083346837","https://openalex.org/W2089302413","https://openalex.org/W2097132843","https://openalex.org/W2098613108","https://openalex.org/W2103450980","https://openalex.org/W2106967375","https://openalex.org/W2117404416","https://openalex.org/W2121830132","https://openalex.org/W2124809372","https://openalex.org/W2132160040","https://openalex.org/W2137043637","https://openalex.org/W2145096794","https://openalex.org/W2163720856","https://openalex.org/W2196956961","https://openalex.org/W2296616510","https://openalex.org/W2949383784","https://openalex.org/W2952700635","https://openalex.org/W4250955649","https://openalex.org/W4300263211"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W4252024964","https://openalex.org/W4253883008"],"abstract_inverted_index":{"Many":[0],"systems":[1],"for":[2,56],"which":[3],"compressive":[4,79,97,128,131,155],"sensing":[5,80,98,156],"is":[6,14,108,145],"used":[7,43,64,102],"today":[8],"are":[9],"dynamical.":[10],"The":[11],"common":[12],"approach":[13,30],"to":[15,44,65,88],"neglect":[16],"the":[17,21,35,39,46,49,57,67,71,75,85,93,105,110,123,134,140,143,150],"dynamics":[18],"and":[19,59,147],"see":[20],"problem":[22],"as":[23],"a":[24,159],"sequence":[25],"of":[26,48,70,122,142],"independent":[27],"problems.":[28],"This":[29],"has":[31],"two":[32,144],"disadvantages.":[33,91],"Firstly,":[34],"temporal":[36],"dependency":[37],"in":[38,127],"state":[40,50,58,106],"could":[41,62],"be":[42,63,101],"improve":[45],"accuracy":[47],"estimates.":[51],"Secondly,":[52],"having":[53],"an":[54],"estimate":[55],"its":[60],"support":[61],"reduce":[66],"computational":[68],"load":[69],"subsequent":[72],"step.":[73],"In":[74,92,116],"linear":[76],"Gaussian":[77],"setting,":[78],"was":[81],"recently":[82],"combined":[83],"with":[84,133],"Kalman":[86],"filter":[87,112,152],"mitigate":[89],"above":[90],"nonlinear":[94,130,154],"dynamical":[95],"case,":[96],"can":[99],"not":[100],"and,":[103],"if":[104],"dimension":[107],"high,":[109],"particle":[111,135,151],"would":[113],"perform":[114],"poorly.":[115],"this":[117],"paper":[118],"we":[119],"combine":[120],"one":[121],"most":[124],"novel":[125],"developments":[126],"sensing,":[129,132],"filter.":[136],"We":[137],"show":[138],"that":[139,148],"marriage":[141],"essential":[146],"neither":[149],"or":[153],"alone":[157],"gives":[158],"satisfying":[160],"solution.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}