{"id":"https://openalex.org/W2745152560","doi":"https://doi.org/10.1109/isit.2017.8006741","title":"Reliability of universal decoding based on vector-quantized codewords","display_name":"Reliability of universal decoding based on vector-quantized codewords","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2745152560","doi":"https://doi.org/10.1109/isit.2017.8006741","mag":"2745152560"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5028774270","display_name":"Neri Merhav","orcid":"https://orcid.org/0000-0002-9547-3243"},"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 \u2014 Israel Institute of Technology, Technion City, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technion \u2014 Israel Institute of Technology, Technion City, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028774270"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.43,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65181858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1311","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12029","display_name":"DNA and Biological Computing","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.8886497616767883},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.8152737021446228},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7067350745201111},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6129257082939148},{"id":"https://openalex.org/keywords/soft-decision-decoder","display_name":"Soft-decision decoder","score":0.5918868184089661},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5516456961631775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5275654196739197},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5092884302139282},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.463315486907959},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.44471290707588196},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4376533329486847},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4365476965904236},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.42086338996887207},{"id":"https://openalex.org/keywords/probability-of-error","display_name":"Probability of error","score":0.4164932370185852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40695175528526306},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37324804067611694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14673393964767456},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09583410620689392},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08678072690963745}],"concepts":[{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.8886497616767883},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8152737021446228},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7067350745201111},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6129257082939148},{"id":"https://openalex.org/C185588885","wikidata":"https://www.wikidata.org/wiki/Q7553811","display_name":"Soft-decision decoder","level":3,"score":0.5918868184089661},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5516456961631775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5275654196739197},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5092884302139282},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.463315486907959},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.44471290707588196},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4376533329486847},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4365476965904236},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.42086338996887207},{"id":"https://openalex.org/C92224547","wikidata":"https://www.wikidata.org/wiki/Q1673216","display_name":"Probability of error","level":2,"score":0.4164932370185852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40695175528526306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37324804067611694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14673393964767456},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09583410620689392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08678072690963745},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2068846126","https://openalex.org/W2097013797","https://openalex.org/W2098720252","https://openalex.org/W2117852373","https://openalex.org/W2146461393","https://openalex.org/W2154168844","https://openalex.org/W2154966010","https://openalex.org/W2161923493","https://openalex.org/W2254512934","https://openalex.org/W2526258610","https://openalex.org/W2597388719","https://openalex.org/W2912154207","https://openalex.org/W3103569192","https://openalex.org/W4297970635","https://openalex.org/W4302366875","https://openalex.org/W6758291014"],"related_works":["https://openalex.org/W2101839068","https://openalex.org/W2013415656","https://openalex.org/W2068997485","https://openalex.org/W2360823018","https://openalex.org/W1940433659","https://openalex.org/W2236671135","https://openalex.org/W2787028809","https://openalex.org/W3000028951","https://openalex.org/W1984703306","https://openalex.org/W2132233541"],"abstract_inverted_index":{"Motivated":[0],"by":[1,83],"applications":[2],"of":[3,14,51,111,127],"biometric":[4],"identification":[5,8],"and":[6,25,37,60,72,85],"content":[7],"systems,":[9],"we":[10,66],"consider":[11],"the":[12,27,34,38,45,49,90,105,112,128],"problem":[13],"random":[15],"coding":[16],"for":[17],"channels,":[18],"where":[19,26],"each":[20],"codeword":[21],"undergoes":[22],"vector":[23],"quantization,":[24],"decoder":[28,71,103],"bases":[29],"its":[30,74],"decision":[31],"only":[32],"on":[33,79],"compressed":[35],"codewords":[36],"channel":[39,129],"output,":[40],"which":[41,77],"is":[42],"in":[43],"turn,":[44],"channel's":[46],"response":[47],"to":[48],"transmission":[50],"an":[52,80],"original":[53],"codeword,":[54],"before":[55],"compression.":[56],"For":[57],"memoryless":[58,61],"sources":[59],"channels":[62],"with":[63],"finite":[64],"alphabets,":[65],"propose":[67],"a":[68],"new":[69],"universal":[70,96,102],"analyze":[73],"error":[75,107],"exponent,":[76],"improves":[78],"earlier":[81],"result":[82],"Dasarathy":[84],"Draper":[86],"(2011),":[87],"who":[88],"used":[89],"classic":[91],"maximum":[92,114],"mutual":[93],"information":[94],"(MMI)":[95],"decoder.":[97],"We":[98],"show":[99],"that":[100,110],"our":[101],"provides":[104],"same":[106],"exponent":[108],"as":[109,120,122],"optimal,":[113],"likelihood":[115],"(ML)":[116],"decoder,":[117],"at":[118],"least":[119],"long":[121],"all":[123],"single-letter":[124],"transition":[125],"probabilities":[126],"are":[130],"positive.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}