{"id":"https://openalex.org/W2107191575","doi":"https://doi.org/10.1109/icassp.2004.1326350","title":"State estimation from high-dimensional data","display_name":"State estimation from high-dimensional data","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2107191575","doi":"https://doi.org/10.1109/icassp.2004.1326350","mag":"2107191575"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1326350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091154507","display_name":"Victor Solo","orcid":"https://orcid.org/0000-0002-5123-7708"},"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":true,"raw_author_name":"V. Solo","raw_affiliation_strings":["School of Electrical Engineering, University of New South Wales, Sydney, NSW, Australia","[Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"[Sch. of Electr. Eng., New South Wales Univ., Sydney, NSW, Australia]","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091154507"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":0.2205,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47793267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"ii","last_page":"685"},"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":0.9991000294685364,"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":0.9991000294685364,"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/T10320","display_name":"Neural Networks and Applications","score":0.9358000159263611,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9312999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.8548563718795776},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.7054718136787415},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.6958562135696411},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.6160374879837036},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.536633312702179},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5198524594306946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5058460235595703},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4928758144378662},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4464954137802124},{"id":"https://openalex.org/keywords/intrinsic-dimension","display_name":"Intrinsic dimension","score":0.44279202818870544},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41659823060035706},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4148833453655243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4070231020450592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4016839265823364},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35022756457328796},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3490777611732483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18109726905822754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1511572301387787},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09401392936706543},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.062338054180145264}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.8548563718795776},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7054718136787415},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6958562135696411},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.6160374879837036},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.536633312702179},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5198524594306946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5058460235595703},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4928758144378662},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4464954137802124},{"id":"https://openalex.org/C30732413","wikidata":"https://www.wikidata.org/wiki/Q17092636","display_name":"Intrinsic dimension","level":3,"score":0.44279202818870544},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41659823060035706},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4148833453655243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4070231020450592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4016839265823364},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35022756457328796},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3490777611732483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18109726905822754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1511572301387787},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09401392936706543},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.062338054180145264},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2004.1326350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1326350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W98769269","https://openalex.org/W1549451790","https://openalex.org/W1551073729","https://openalex.org/W1564419782","https://openalex.org/W1926270821","https://openalex.org/W2082789158","https://openalex.org/W2097560155","https://openalex.org/W2166298626","https://openalex.org/W2293807537","https://openalex.org/W2798500587"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W3206065900","https://openalex.org/W2037570646","https://openalex.org/W2506698237","https://openalex.org/W3043006620","https://openalex.org/W2006887883","https://openalex.org/W2377099507","https://openalex.org/W1991038635","https://openalex.org/W1497129724"],"abstract_inverted_index":{"It":[0],"is":[1,15,53,82],"implicit":[2],"in":[3,45,74],"traditional":[4],"discussions":[5],"of":[6,22],"linear":[7,90],"or":[8],"nonlinear":[9,92],"state":[10,24,34,62,87],"estimation":[11,63],"filters":[12],"that":[13,61],"there":[14],"no":[16],"relation":[17],"specified":[18],"between":[19],"the":[20,23,26,33,51,54,67,79,86],"dimension":[21,81],"and":[25,76,91],"observation":[27,80],"vector":[28],"dimension.":[29,42,88],"If":[30],"anything":[31],"though,":[32],"would":[35],"often":[36],"be":[37],"thought":[38],"to":[39],"have":[40],"higher":[41],"But":[43],"increasingly":[44],"practice":[46],"problems":[47],"are":[48,97],"arising":[49],"where":[50],"reverse":[52],"case.":[55],"In":[56],"this":[57],"paper":[58],"we":[59],"show":[60],"filters,":[64],"such":[65],"as":[66],"Kalman":[68],"filter":[69],"undergo":[70],"a":[71],"remarkable":[72],"simplification":[73],"structure":[75],"computation":[77],"when":[78],"much":[83],"larger":[84],"than":[85],"Both":[89],"cases":[93],"(including":[94],"point":[95],"processes)":[96],"discussed.":[98]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
