{"id":"https://openalex.org/W2193827075","doi":"https://doi.org/10.1109/isit.2016.7541781","title":"The generalized stochastic likelihood decoder: Random coding and expurgated bounds","display_name":"The generalized stochastic likelihood decoder: Random coding and expurgated bounds","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2193827075","doi":"https://doi.org/10.1109/isit.2016.7541781","mag":"2193827075"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1512.01780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Neri Merhav","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"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Neri Merhav","raw_affiliation_strings":["Department of Electrical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 32000, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa 32000, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.3728,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6374434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2659","last_page":"2663"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9973000288009644,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9968000054359436,"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/channel-code","display_name":"Channel code","score":0.5630000233650208},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.5512999892234802},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.48539999127388},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4749999940395355},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45419999957084656},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4058000147342682},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.3788999915122986}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6998000144958496},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.5630000233650208},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.5512999892234802},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4749999940395355},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4115000069141388},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.40689998865127563},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39800000190734863},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.37630000710487366},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.364300012588501},{"id":"https://openalex.org/C138405894","wikidata":"https://www.wikidata.org/wiki/Q3179949","display_name":"Multivariate random variable","level":3,"score":0.35019999742507935},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.311599999666214},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.2563999891281128},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2016.7541781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1512.01780","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.01780","pdf_url":"https://arxiv.org/pdf/1512.01780","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1512.01780","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1512.01780","pdf_url":"https://arxiv.org/pdf/1512.01780","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1646187488","https://openalex.org/W1993176105","https://openalex.org/W2061890144","https://openalex.org/W2153348887","https://openalex.org/W2154433856","https://openalex.org/W2193827075","https://openalex.org/W2259324731","https://openalex.org/W2569422842","https://openalex.org/W4206719239","https://openalex.org/W4302366875","https://openalex.org/W6637743321","https://openalex.org/W6640554397","https://openalex.org/W6785417626"],"related_works":[],"abstract_inverted_index":{"The":[0],"likelihood":[1,74,168,193,199],"decoder":[2,6,37,200],"is":[3,41,201],"a":[4,32,44,89],"stochastic":[5,167,198],"that":[7,47,93,109],"selects":[8],"the":[9,15,19,24,39,51,56,60,73,79,95,126,151,166,186,191,197],"decoded":[10],"message":[11,22],"at":[12,175],"random,":[13],"using":[14],"posterior":[16,40],"distribution":[17,54],"of":[18,35,55,72,190],"true":[20],"underlying":[21],"given":[23],"channel":[25,130,136,143,157],"output.":[26],"In":[27],"this":[28,36],"work,":[29],"we":[30,159],"study":[31],"generalized":[33],"version":[34],"where":[38],"proportional":[42],"to":[43,102,112,132,150,155,173],"general":[45],"function":[46],"depends":[48],"only":[49],"on":[50],"joint":[52],"empirical":[53],"output":[57],"vector":[58],"and":[59,68,106,135],"codeword.":[61],"This":[62],"framework":[63],"allows":[64],"both":[65],"mismatched":[66],"versions":[67,71],"universal":[69],"(MMI)":[70],"decoder,":[75,169,194],"as":[76,78,177,185],"well":[77],"corresponding":[80],"ordinary":[81],"deterministic":[82],"decoders,":[83],"among":[84],"many":[85],"others.":[86],"We":[87,123],"provide":[88],"direct":[90],"analysis":[91],"method":[92],"yields":[94],"exact":[96],"random":[97,142],"coding":[98,131,137],"exponent":[99,164,189],"(as":[100],"opposed":[101],"separate":[103],"upper":[104],"bounds":[105,108],"lower":[107],"turn":[110],"out":[111,172],"be":[113,174],"compatible,":[114],"which":[115,170],"were":[116],"derived":[117],"earlier":[118],"by":[119,141],"Scarlett":[120],"et":[121],"al.).":[122],"also":[124,161],"extend":[125],"result":[127],"from":[128],"pure":[129,156],"combined":[133],"source":[134],"(random":[138],"binning":[139],"followed":[140],"coding)":[144],"with":[145],"side":[146],"information":[147],"(SI)":[148],"available":[149],"decoder.":[152],"Finally,":[153],"returning":[154],"coding,":[158],"derive":[160],"an":[162],"expurgated":[163,188],"for":[165],"turns":[171],"least":[176],"tight":[178],"(and":[179],"in":[180],"some":[181],"cases,":[182],"strictly":[183],"so)":[184],"classical":[187],"maximum":[192],"even":[195],"though":[196],"suboptimal.":[202]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2016-06-24T00:00:00"}