{"id":"https://openalex.org/W2098252156","doi":"https://doi.org/10.1109/isit.2013.6620195","title":"On coding schemes for channels with mismatched decoding","display_name":"On coding schemes for channels with mismatched decoding","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2098252156","doi":"https://doi.org/10.1109/isit.2013.6620195","mag":"2098252156"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620195","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/A5040147387","display_name":"Anelia Somekh-Baruch","orcid":"https://orcid.org/0000-0002-3839-6317"},"institutions":[{"id":"https://openalex.org/I13955877","display_name":"Bar-Ilan University","ror":"https://ror.org/03kgsv495","country_code":"IL","type":"education","lineage":["https://openalex.org/I13955877"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Anelia Somekh-Baruch","raw_affiliation_strings":["Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","Fac. of Eng., Bar Ilan Univ., Ramat Gan, Israel"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Bar-Ilan University, Ramat-Gan, Israel","institution_ids":["https://openalex.org/I13955877"]},{"raw_affiliation_string":"Fac. of Eng., Bar Ilan Univ., Ramat Gan, Israel","institution_ids":["https://openalex.org/I13955877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5040147387"],"corresponding_institution_ids":["https://openalex.org/I13955877"],"apc_list":null,"apc_paid":null,"fwci":1.4187,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84183997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"96","last_page":"100"},"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":0.9983999729156494,"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/T12029","display_name":"DNA and Biological Computing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8676029443740845},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.7243737578392029},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5666895508766174},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.555639386177063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5524821877479553},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5126935243606567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48887747526168823},{"id":"https://openalex.org/keywords/channel-capacity","display_name":"Channel capacity","score":0.4871618449687958},{"id":"https://openalex.org/keywords/probability-of-error","display_name":"Probability of error","score":0.47781088948249817},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.46436139941215515},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4621172249317169},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.44627222418785095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4442838430404663},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.41842421889305115},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.414816677570343},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3463098406791687},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14518553018569946},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12051460146903992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10299420356750488}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8676029443740845},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.7243737578392029},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5666895508766174},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.555639386177063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5524821877479553},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5126935243606567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48887747526168823},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.4871618449687958},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.47781088948249817},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.46436139941215515},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4621172249317169},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.44627222418785095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4442838430404663},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.41842421889305115},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.414816677570343},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3463098406791687},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14518553018569946},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12051460146903992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10299420356750488},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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.2013.6620195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620195","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":15,"referenced_works":["https://openalex.org/W1497866447","https://openalex.org/W1597374318","https://openalex.org/W1736513039","https://openalex.org/W1993834809","https://openalex.org/W2057756383","https://openalex.org/W2093186237","https://openalex.org/W2108033855","https://openalex.org/W2119584244","https://openalex.org/W2140788188","https://openalex.org/W2153348887","https://openalex.org/W2154433856","https://openalex.org/W2157619393","https://openalex.org/W2159839982","https://openalex.org/W2174534725","https://openalex.org/W2220197971"],"related_works":["https://openalex.org/W2158824308","https://openalex.org/W2159058996","https://openalex.org/W2787653234","https://openalex.org/W1998688728","https://openalex.org/W2963226898","https://openalex.org/W2020347709","https://openalex.org/W4301735652","https://openalex.org/W1491239575","https://openalex.org/W4299563878","https://openalex.org/W1553451787"],"abstract_inverted_index":{"The":[0,38,106],"problem":[1],"of":[2,49,61,75],"mismatched":[3,12],"decoding":[4],"for":[5,53,135],"discrete":[6],"memoryless":[7],"channels":[8],"is":[9,16,26,100],"addressed.":[10],"A":[11,73],"cognitive":[13,115],"multiple-access":[14],"channel":[15,118],"introduced,":[17],"and":[18,35,56],"an":[19],"inner":[20,39],"bound":[21,126,141],"on":[22,127,144],"its":[23],"capacity":[24,104],"region":[25,95],"derived":[27,42,148],"using":[28],"two":[29],"alternative":[30],"encoding":[31],"methods:":[32],"superposition":[33,91],"coding":[34,67],"random":[36,85,98,138],"binning.":[37],"bounds":[40],"are":[41,70,109],"by":[43,57,97,112,149],"analyzing":[44],"the":[45,50,62,76,82,94,103,128,145],"average":[46],"error":[47,64],"probability":[48],"code":[51],"ensemble":[52],"both":[54],"methods":[55],"a":[58,114,124],"tight":[59],"characterization":[60],"resulting":[63],"exponents.":[65],"Random":[66],"converse":[68],"theorems":[69],"also":[71],"derived.":[72],"comparison":[74],"achievable":[77,96,120,146],"regions":[78],"shows":[79],"that":[80],"in":[81],"matched":[83],"case,":[84],"binning":[86,99],"performs":[87],"as":[88,90,123],"well":[89],"coding,":[92],"i.e.,":[93],"equal":[101],"to":[102],"region.":[105],"achievability":[107],"results":[108],"further":[110],"specialized":[111],"investigating":[113],"multiple":[116],"access":[117],"whose":[119],"sum-rate":[121],"serves":[122],"lower":[125],"single-user":[129],"channel's":[130],"capacity.":[131],"In":[132],"certain":[133],"cases,":[134],"given":[136],"auxiliary":[137],"variables":[139],"this":[140],"strictly":[142],"improves":[143],"rate":[147],"Lapidoth.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
