{"id":"https://openalex.org/W1971800802","doi":"https://doi.org/10.1109/isit.2005.1523549","title":"Discrete universal filtering via hidden Markov modelling","display_name":"Discrete universal filtering via hidden Markov modelling","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1971800802","doi":"https://doi.org/10.1109/isit.2005.1523549","mag":"1971800802"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2005.1523549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","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/A5080346989","display_name":"Taesup Moon","orcid":"https://orcid.org/0000-0002-9257-6503"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Moon","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, Stanford, CA, USA","Information Systems Lab., Stanford University, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, Stanford, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Information Systems Lab., Stanford University, CA#TAB#","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043344688","display_name":"Tsachy Weissman","orcid":"https://orcid.org/0009-0008-1099-691X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T. Weissman","raw_affiliation_strings":["Information Systems Laboratory, University of Stanford, Stanford, CA, USA","Information Systems Lab., Stanford University, CA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Systems Laboratory, University of Stanford, Stanford, CA, USA","institution_ids":[]},{"raw_affiliation_string":"Information Systems Lab., Stanford University, CA#TAB#","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1285","last_page":"1289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9937000274658203,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9937000274658203,"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":0.9869999885559082,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.982200026512146,"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/ergodic-theory","display_name":"Ergodic theory","score":0.6704089641571045},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6494286060333252},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.6226869821548462},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6076151728630066},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5967209339141846},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.595120370388031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5177152156829834},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4695333242416382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4681295156478882},{"id":"https://openalex.org/keywords/discrete-time-signal","display_name":"Discrete-time signal","score":0.45166850090026855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4493674039840698},{"id":"https://openalex.org/keywords/stationary-process","display_name":"Stationary process","score":0.4355345666408539},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.43437647819519043},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4266425669193268},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4124719202518463},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20724478363990784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18670421838760376},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.08969578146934509},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06983420252799988},{"id":"https://openalex.org/keywords/signal-transfer-function","display_name":"Signal transfer function","score":0.06161010265350342},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06082183122634888}],"concepts":[{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.6704089641571045},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6494286060333252},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.6226869821548462},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6076151728630066},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5967209339141846},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.595120370388031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5177152156829834},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4695333242416382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4681295156478882},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.45166850090026855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4493674039840698},{"id":"https://openalex.org/C110405555","wikidata":"https://www.wikidata.org/wiki/Q1192209","display_name":"Stationary process","level":2,"score":0.4355345666408539},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.43437647819519043},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4266425669193268},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4124719202518463},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20724478363990784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18670421838760376},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.08969578146934509},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06983420252799988},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.06161010265350342},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06082183122634888},{"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/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit.2005.1523549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.6189","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.6189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stanford.edu/~tsachy/pdf_files/Discrete universal filtering via hidden Markov modelling.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.87.4688","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.4688","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stanford.edu/~tsachy/Journal_Ver11.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1558734078","https://openalex.org/W1971800802","https://openalex.org/W1972679863","https://openalex.org/W2007321142","https://openalex.org/W2087284982","https://openalex.org/W2099111195","https://openalex.org/W2159576684","https://openalex.org/W2180151937","https://openalex.org/W2294584261"],"related_works":["https://openalex.org/W2390585021","https://openalex.org/W412641959","https://openalex.org/W50969306","https://openalex.org/W4292101436","https://openalex.org/W2341040961","https://openalex.org/W4287207389","https://openalex.org/W2012833952","https://openalex.org/W2156886410","https://openalex.org/W4251305033","https://openalex.org/W2087377754"],"abstract_inverted_index":{"We":[0,30,99],"consider":[1],"the":[2,8,45,49,54,73,91,103,109,114,123,126],"discrete":[3,12],"universal":[4],"filtering":[5,51],"problem,":[6],"where":[7],"components":[9],"of":[10,34,47,90,111,120,125],"a":[11,22,32,77],"signal":[13,56,75],"emitted":[14],"by":[15,21,76,88],"an":[16,62],"unknown":[17],"source":[18],"and":[19,60,107],"corrupted":[20],"known":[23],"DMC":[24],"are":[25,69],"to":[26,39],"be":[27,40],"causally":[28],"estimated.":[29],"derive":[31],"family":[33,119],"filters":[35,121],"which":[36],"we":[37],"show":[38,100],"universally":[41],"asymptotically":[42],"optimal":[43,127],"in":[44,113],"sense":[46],"achieving":[48],"optimum":[50],"performance":[52,124],"when":[53],"clean":[55],"is":[57],"stationary,":[58],"ergodic,":[59],"satisfies":[61],"additional":[63],"mild":[64],"positivity":[65],"condition.":[66],"Our":[67],"schemes":[68],"based":[70],"on":[71],"approximating":[72],"noisy":[74],"hidden":[78],"Markov":[79],"process":[80],"(HMP)":[81],"via":[82],"maximum":[83],"likelihood":[84],"(ML)":[85],"estimation,":[86],"followed":[87],"use":[89],"well-known":[92],"forward":[93],"recursions":[94],"for":[95],"HMP":[96,115],"state":[97],"estimation.":[98],"that":[101],"as":[102,108],"data":[104],"length":[105],"increases,":[106,117],"number":[110],"states":[112],"approximation":[116],"our":[118],"attain":[122],"distribution-dependent":[128],"filter":[129]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}