{"id":"https://openalex.org/W4249599117","doi":"https://doi.org/10.1109/tsp.2008.2009894","title":"Universal FIR MMSE Filtering","display_name":"Universal FIR MMSE Filtering","publication_year":2008,"publication_date":"2008-12-03","ids":{"openalex":"https://openalex.org/W4249599117","doi":"https://doi.org/10.1109/tsp.2008.2009894"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2008.2009894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2008.2009894","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5080346989","display_name":"Taesup Moon","orcid":"https://orcid.org/0000-0002-9257-6503"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"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":["Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","Yahoo, Inc., Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Yahoo, Inc., Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084079314","display_name":"Tsachy Weissman","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]},{"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":["IL","US"],"is_corresponding":false,"raw_author_name":"T. Weissman","raw_affiliation_strings":["Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","Department of Electrical Engineering, University of Stanford, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Stanford, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8595,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.81373797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"57","issue":"3","first_page":"1068","last_page":"1083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987999796867371,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6750802993774414},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6691585779190063},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6051884889602661},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5800403356552124},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.509161651134491},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48301422595977783},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.47906026244163513},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.47311779856681824},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44212082028388977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36931532621383667},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3581397235393524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3353974223136902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16769665479660034}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6750802993774414},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6691585779190063},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6051884889602661},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5800403356552124},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.509161651134491},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48301422595977783},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.47906026244163513},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.47311779856681824},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44212082028388977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36931532621383667},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3581397235393524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3353974223136902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16769665479660034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2008.2009894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2008.2009894","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1510355813","https://openalex.org/W1570963478","https://openalex.org/W1584444527","https://openalex.org/W1996047543","https://openalex.org/W1999542175","https://openalex.org/W2016596161","https://openalex.org/W2089594883","https://openalex.org/W2097970569","https://openalex.org/W2102426343","https://openalex.org/W2107467870","https://openalex.org/W2119328597","https://openalex.org/W2119719205","https://openalex.org/W2122962290","https://openalex.org/W2125637970","https://openalex.org/W2126830763","https://openalex.org/W2129160848","https://openalex.org/W2133045969","https://openalex.org/W2137586026","https://openalex.org/W2139716865","https://openalex.org/W2144740475","https://openalex.org/W2148825261","https://openalex.org/W2151481501","https://openalex.org/W2155817051","https://openalex.org/W2163292085","https://openalex.org/W2180151937","https://openalex.org/W2294584261","https://openalex.org/W2564427589","https://openalex.org/W4255521522","https://openalex.org/W4396738162","https://openalex.org/W6634927326","https://openalex.org/W6681723013"],"related_works":["https://openalex.org/W2075897667","https://openalex.org/W2907746047","https://openalex.org/W3125536267","https://openalex.org/W2073909383","https://openalex.org/W2274645452","https://openalex.org/W2578420076","https://openalex.org/W2185477221","https://openalex.org/W3149575174","https://openalex.org/W2612256009","https://openalex.org/W2044381729"],"abstract_inverted_index":{"We":[0,27,59,157],"consider":[1],"the":[2,22,48,67,74,77,82,87,102,105,116,140,150,153,166,180],"problem":[3],"of":[4,9,47,55,76,86,90,104,118,152,169,182],"causal":[5],"estimation,":[6],"i.e.,":[7,138],"filtering,":[8],"a":[10,29,56,63,110,133,144],"real-valued":[11,18],"signal":[12,142],"corrupted":[13],"by":[14],"zero":[15],"mean,":[16],"time-independent,":[17],"additive":[19],"noise,":[20],"under":[21],"mean-squared":[23],"error":[24],"(MSE)":[25],"criterion.":[26],"build":[28],"universal":[30,171,183],"filter":[31,54,148,172],"whose":[32],"per-symbol":[33],"squared":[34],"error,":[35],"for":[36],"every":[37],"bounded":[38],"underlying":[39,68,141],"signal,":[40,69],"is":[41,79,93,101,143],"essentially":[42],"as":[43,45,97],"small":[44],"that":[46,73],"best":[49],"finite-duration":[50],"impulse":[51],"response":[52],"(FIR)":[53],"given":[57],"order.":[58],"do":[60],"not":[61,121],"assume":[62,71],"stochastic":[64,135],"mechanism":[65],"generating":[66],"and":[70,185],"only":[72,122],"variance":[75],"noise":[78],"known":[80],"to":[81,95],"filter.":[83,156],"The":[84],"regret":[85],"expected":[88],"MSE":[89],"our":[91,119,147,159,170],"scheme":[92,120],"shown":[94],"decay":[96],"O(logn/n),":[98],"where":[99],"n":[100],"length":[103],"signal.":[106],"Moreover,":[107],"we":[108],"present":[109],"stronger":[111],"concentration":[112],"result":[113,131],"which":[114],"guarantees":[115],"performance":[117,151],"in":[123,173],"expectation,":[124],"but":[125],"also":[126],"with":[127,162],"high":[128],"probability.":[129],"Our":[130,175],"implies":[132],"conventional":[134],"setting":[136],"result,":[137],"when":[139],"stationary":[145],"process,":[146],"achieves":[149],"optimal":[154],"FIR":[155],"back":[158],"theoretical":[160],"findings":[161],"several":[163],"experiments":[164],"showcasing":[165],"potential":[167],"merits":[168],"practice.":[174],"analysis":[176],"combines":[177],"tools":[178],"from":[179],"problems":[181],"filtering":[184],"competitive":[186],"online":[187],"regression.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
