{"id":"https://openalex.org/W2124652249","doi":"https://doi.org/10.1109/isit.2013.6620597","title":"Estimation in slow mixing, long memory channels","display_name":"Estimation in slow mixing, long memory channels","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2124652249","doi":"https://doi.org/10.1109/isit.2013.6620597","mag":"2124652249"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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/A5101818563","display_name":"Meysam Asadi","orcid":"https://orcid.org/0000-0002-7492-7031"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meysam Asadi","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040578754","display_name":"Ramezan Paravi Torghabeh","orcid":null},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramezan Paravi Torghabeh","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030506196","display_name":"Narayana Santhanam","orcid":"https://orcid.org/0000-0001-6515-6311"},"institutions":[{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narayana P. Santhanam","raw_affiliation_strings":["Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Hawai'i at M\u0101noa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Univ. of Hawai'i at Manoa, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4824,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86692568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"2104","last_page":"2108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9932000041007996,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/estimator","display_name":"Estimator","score":0.7821701765060425},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.7127938270568848},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.641760528087616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5133775472640991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4989809989929199},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.45368942618370056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38649702072143555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3612446188926697},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1292816400527954},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08200636506080627}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7821701765060425},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.7127938270568848},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.641760528087616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5133775472640991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4989809989929199},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.45368942618370056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38649702072143555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3612446188926697},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1292816400527954},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08200636506080627},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2013.6620597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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":18,"referenced_works":["https://openalex.org/W1600293573","https://openalex.org/W1987149108","https://openalex.org/W2011485152","https://openalex.org/W2053807426","https://openalex.org/W2082967074","https://openalex.org/W2103396489","https://openalex.org/W2105342805","https://openalex.org/W2117090766","https://openalex.org/W2124652249","https://openalex.org/W2128741289","https://openalex.org/W2139789442","https://openalex.org/W2153942802","https://openalex.org/W2156427364","https://openalex.org/W2163294786","https://openalex.org/W2168256531","https://openalex.org/W2471517265","https://openalex.org/W4298289668","https://openalex.org/W6636021564"],"related_works":["https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W1856228368","https://openalex.org/W2971527398","https://openalex.org/W82829784","https://openalex.org/W1929207905","https://openalex.org/W4360103584"],"abstract_inverted_index":{"We":[0],"consider":[1],"estimation":[2,81],"of":[3,25,39,100,139,263,275],"binary":[4],"channels":[5],"with":[6,96,142,183,231],"memory":[7,165,184],"where":[8,196],"the":[9,15,26,29,35,40,58,65,71,113,125,132,164,211,220,227,264,272,276],"transition":[10],"probabilities":[11,73,274],"(channel":[12],"parameters)":[13],"from":[14,219,285],"input":[16,47],"to":[17,57,63,160,173,177,257,271],"output":[18],"are":[19,279],"determined":[20],"by":[21,54],"prior":[22],"outputs":[23],"(state":[24],"channel).":[27],"While":[28],"channel":[30,41,66,265,277],"is":[31,158,166,176,201,214],"unknown,":[32],"we":[33,43,61,147,225,248],"observe":[34],"joint":[36],"input/output":[37],"process":[38],"-":[42],"have":[44],"n":[45,141],"i.i.d.":[46],"bits":[48],"and":[49,88,120,153,223,244,267,281],"their":[50,283],"corresponding":[51],"outputs.":[52],"Motivated":[53],"applications":[55],"related":[56,270],"backplane":[59],"channel,":[60],"want":[62,226],"estimate":[64,157,178],"parameters":[67,266],"as":[68,70],"well":[69],"stationary":[72,273],"for":[74,253],"each":[75],"state.":[76],"Two":[77],"distinct":[78],"problems":[79],"complicate":[80],"in":[82],"this":[83,103],"setting:":[84],"(i)":[85,210,261],"long":[86],"memory,":[87],"(ii)":[89,224,268],"slow":[90,254],"mixing":[91,255],"which":[92],"could":[93,128],"happen":[94],"even":[95],"only":[97,109,217],"one":[98],"bit":[99],"memory.":[101],"In":[102],"setting,":[104],"any":[105,118,121],"consistent":[106],"estimator":[107,119,133],"can":[108,146],"converge":[110],"pointwise":[111],"over":[112],"model":[114,127,182,213],"class.":[115],"Namely,":[116],"given":[117],"sample":[122,138,152],"size":[123,140],"n,":[124,195],"underlying":[126],"be":[129,161,174],"such":[130],"that":[131,204,209],"performs":[134],"poorly":[135],"on":[136,241],"a":[137,150,169,179,202,232],"high":[143],"probability.":[144],"But":[145],"look":[148],"at":[149],"length-n":[151,233],"identify":[154,258],"if":[155],"an":[156],"likely":[159],"accurate?":[162],"Since":[163],"unknown":[167],"a-priori,":[168],"natural":[170],"approach,":[171],"known":[172],"consistent,":[175],"potentially":[180],"coarser":[181,212],"k":[185],"<sub":[186,191,198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[187,192,199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sub>":[188,193,200],"=":[189],"\u03b1":[190,197],"log":[194],"function":[203],"grows":[205],"O(1).":[206],"Note":[207],"however":[208],"estimated":[215],"using":[216],"samples":[218],"true":[221,286],"model;":[222],"best":[228],"possible":[229],"answers":[230],"sample,":[234],"rather":[235],"than":[236],"just":[237],"consistency.":[238],"Combining":[239],"results":[240],"universal":[242],"compression":[243],"Aldous'":[245],"coupling":[246],"arguments,":[247],"obtain":[249],"sufficient":[250],"conditions":[251],"(even":[252],"models)":[256],"when":[259],"naive":[260],"estimates":[262,269],"states":[278],"accurate,":[280],"bound":[282],"deviations":[284],"values.":[287]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}