{"id":"https://openalex.org/W1613780462","doi":"https://doi.org/10.1109/isit.2015.7282417","title":"Anytime capacity of Markov channels","display_name":"Anytime capacity of Markov channels","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1613780462","doi":"https://doi.org/10.1109/isit.2015.7282417","mag":"1613780462"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","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/A5025691678","display_name":"Paolo Minero","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Paolo Minero","raw_affiliation_strings":["Department of EE, University of Notre Dame, Notre Dame, IN, USA","Dept. of EE, Univ. of Notre Dame, IN 46556, USA"],"affiliations":[{"raw_affiliation_string":"Department of EE, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"Dept. of EE, Univ. of Notre Dame, IN 46556, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075999338","display_name":"Massimo Franceschetti","orcid":"https://orcid.org/0000-0002-4057-8152"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Massimo Franceschetti","raw_affiliation_strings":["Department of ECE, University of California, San Diego La Jolla, CA, USA","Department of ECE, University of California, San Diego, La Jolla, 92093, USA"],"affiliations":[{"raw_affiliation_string":"Department of ECE, University of California, San Diego La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of ECE, University of California, San Diego, La Jolla, 92093, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025691678"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.6818,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73089075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"61","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9930999875068665,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/binary-erasure-channel","display_name":"Binary erasure channel","score":0.8200641870498657},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.6327509880065918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6258233785629272},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5608305335044861},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5441896915435791},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5407211184501648},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.5217400789260864},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4995722770690918},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4357861578464508},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4357326924800873},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.4222080111503601},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.331376850605011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32217851281166077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2785148620605469},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.2730039358139038},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21819347143173218},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19576218724250793},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1379428207874298}],"concepts":[{"id":"https://openalex.org/C149862233","wikidata":"https://www.wikidata.org/wiki/Q864142","display_name":"Binary erasure channel","level":4,"score":0.8200641870498657},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.6327509880065918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6258233785629272},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5608305335044861},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5441896915435791},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5407211184501648},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.5217400789260864},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4995722770690918},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4357861578464508},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4357326924800873},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.4222080111503601},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.331376850605011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32217851281166077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2785148620605469},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.2730039358139038},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21819347143173218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19576218724250793},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1379428207874298},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","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/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/isit.2015.7282417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W105181866","https://openalex.org/W195742490","https://openalex.org/W198718317","https://openalex.org/W393433841","https://openalex.org/W1490978409","https://openalex.org/W1494099594","https://openalex.org/W1541050834","https://openalex.org/W1976984370","https://openalex.org/W1978848993","https://openalex.org/W1981629070","https://openalex.org/W2005201105","https://openalex.org/W2011118332","https://openalex.org/W2012848941","https://openalex.org/W2014312433","https://openalex.org/W2022406843","https://openalex.org/W2042749151","https://openalex.org/W2065169455","https://openalex.org/W2065253609","https://openalex.org/W2095216716","https://openalex.org/W2096192231","https://openalex.org/W2099065011","https://openalex.org/W2099085757","https://openalex.org/W2099111195","https://openalex.org/W2102893304","https://openalex.org/W2104415299","https://openalex.org/W2110502851","https://openalex.org/W2111604404","https://openalex.org/W2122161467","https://openalex.org/W2122337627","https://openalex.org/W2136160753","https://openalex.org/W2142044905","https://openalex.org/W2143770771","https://openalex.org/W2147341361","https://openalex.org/W2149330654","https://openalex.org/W2152898444","https://openalex.org/W2154290660","https://openalex.org/W2155024125","https://openalex.org/W2156216606","https://openalex.org/W2156971172","https://openalex.org/W2157076370","https://openalex.org/W2157945087","https://openalex.org/W2158914121","https://openalex.org/W2159535726","https://openalex.org/W2163356902","https://openalex.org/W2164231325","https://openalex.org/W2164684058","https://openalex.org/W2166965702","https://openalex.org/W2175624993","https://openalex.org/W2344009450","https://openalex.org/W2571460374","https://openalex.org/W2964215972","https://openalex.org/W6632166390","https://openalex.org/W6704451126"],"related_works":["https://openalex.org/W2372190485","https://openalex.org/W2139769859","https://openalex.org/W2583282232","https://openalex.org/W2140357074","https://openalex.org/W2113562070","https://openalex.org/W2810502498","https://openalex.org/W2743670993","https://openalex.org/W2028268383","https://openalex.org/W2809708642","https://openalex.org/W2317166921"],"abstract_inverted_index":{"Several":[0],"new":[1],"expressions":[2],"for":[3,13,40,50,101],"the":[4,30,41,61,66,78,89,95,98,124,147,151],"anytime":[5,83],"capacity":[6,84,149,153],"of":[7,32,91,97,105,139,167],"Sahai":[8],"and":[9,35,57,65,122,135,141,150,159],"Mitter":[10],"are":[11,77,86],"presented":[12],"a":[14,25,106,112,133,173],"time-varying":[15,114],"rate-limited":[16],"channel":[17,64,71,117],"with":[18,72],"noiseless":[19],"output":[20],"feedback.":[21],"These":[22],"follow":[23],"from":[24],"parametric":[26],"characterization":[27],"obtained":[28],"in":[29],"case":[31],"Markov":[33,43,113],"channels,":[34],"include":[36],"an":[37],"explicit":[38,82],"formula":[39],"r-bit":[42],"erasure":[44,63],"channel,":[45],"as":[46,48,144,154],"well":[47],"formulas":[49,85],"memoryless":[51,62],"rate":[52],"processes":[53],"including":[54],"Binomial,":[55],"Poisson,":[56],"Geometric":[58],"distributions.":[59],"Beside":[60],"additive":[67],"white":[68],"Gaussian":[69],"noise":[70],"input":[73],"power":[74],"constraint,":[75],"these":[76,92],"only":[79],"cases":[80],"where":[81],"obtained.":[87],"At":[88],"basis":[90],"results":[93],"is":[94,129,165],"study":[96],"threshold":[99,128],"function":[100,138],"mth":[102],"moment":[103],"stabilization":[104],"scalar":[107],"linear":[108],"system":[109],"controlled":[110],"over":[111],"digital":[115],"feedback":[116],"that":[118,166],"depends":[119],"on":[120,123],"m":[121,140,155],"channel's":[125],"parameters.":[126],"This":[127],"shown":[130],"to":[131,142,157,172],"be":[132],"continuous":[134],"strictly":[136],"decreasing":[137],"have":[143],"extreme":[145],"values":[146],"Shannon":[148],"zero-error":[152],"tends":[156],"zero":[158],"infinity,":[160],"respectively.":[161],"Its":[162],"operational":[163],"interpretation":[164],"achievable":[168],"communication":[169],"rate,":[170],"subject":[171],"reliability":[174],"constraint.":[175]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}