{"id":"https://openalex.org/W4289655213","doi":"https://doi.org/10.1109/isit50566.2022.9834820","title":"Relationship Between Intrinsic Randomness with f-Divergence and Fixed-Length Source Coding","display_name":"Relationship Between Intrinsic Randomness with f-Divergence and Fixed-Length Source Coding","publication_year":2022,"publication_date":"2022-06-26","ids":{"openalex":"https://openalex.org/W4289655213","doi":"https://doi.org/10.1109/isit50566.2022.9834820"},"language":"en","primary_location":{"id":"doi:10.1109/isit50566.2022.9834820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834820","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5031818620","display_name":"Ryo Nomura","orcid":"https://orcid.org/0000-0002-0799-615X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryo Nomura","raw_affiliation_strings":["Waseda University,Center for Data Science,Tokyo,Japan","Center for Data Science, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Center for Data Science,Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Center for Data Science, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031818620"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07473391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"228","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.968999981880188,"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/hellinger-distance","display_name":"Hellinger distance","score":0.9222193956375122},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.8027079701423645},{"id":"https://openalex.org/keywords/infimum-and-supremum","display_name":"Infimum and supremum","score":0.7487717866897583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7314581274986267},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6822750568389893},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4757639765739441},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4035581350326538},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37156033515930176},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3504255414009094},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34624484181404114},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1901583969593048}],"concepts":[{"id":"https://openalex.org/C153024298","wikidata":"https://www.wikidata.org/wiki/Q3030678","display_name":"Hellinger distance","level":2,"score":0.9222193956375122},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8027079701423645},{"id":"https://openalex.org/C95611797","wikidata":"https://www.wikidata.org/wiki/Q17502105","display_name":"Infimum and supremum","level":2,"score":0.7487717866897583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7314581274986267},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6822750568389893},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4757639765739441},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4035581350326538},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37156033515930176},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3504255414009094},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34624484181404114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1901583969593048},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit50566.2022.9834820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit50566.2022.9834820","pdf_url":null,"source":{"id":"https://openalex.org/S4363604560","display_name":"2022 IEEE International Symposium on Information Theory (ISIT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Information Theory (ISIT)","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":13,"referenced_works":["https://openalex.org/W1990309618","https://openalex.org/W1994048160","https://openalex.org/W2052629148","https://openalex.org/W2066519396","https://openalex.org/W2142785003","https://openalex.org/W2148029764","https://openalex.org/W2518143623","https://openalex.org/W3042477712","https://openalex.org/W3102159535","https://openalex.org/W3105462203","https://openalex.org/W4251984466","https://openalex.org/W4293404332","https://openalex.org/W6681961404"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2388220555","https://openalex.org/W908164891","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W1616881371","https://openalex.org/W1520875569","https://openalex.org/W2199957582"],"abstract_inverted_index":{"This":[0],"paper":[1,130],"deals":[2],"with":[3,35,66,76,101,114],"the":[4,7,13,43,46,62,69,77,80,84,97,115,119,137,140,143,156],"relationship":[5,75,113],"between":[6],"intrinsic":[8],"randomness":[9],"(IR)":[10],"problem":[11,20],"and":[12,28,50,108],"fixed-length":[14],"source":[15,85,120],"coding":[16,86,121],"problem.":[17,87,122],"The":[18,123],"IR":[19,33,64,99],"is":[21],"one":[22],"of":[23,79,106,125,151],"random":[24],"number":[25],"generation":[26],"problems":[27],"optimum":[29,63,98],"achievable":[30],"rates":[31],"(optimum":[32],"rate)":[34],"respect":[36,67,102],"to":[37,68,103,110],"several":[38,132],"approximation":[39],"measures":[40],"such":[41,135],"as":[42,136],"variational":[44,70,138],"distance,":[45,139],"Kullback-Leibler":[47],"(KL)":[48],"divergence":[49],"f-divergences,":[51,153],"have":[52],"been":[53,59],"investigated.":[54],"In":[55],"particular,":[56],"it":[57],"has":[58,72],"shown":[60],"that":[61],"rate":[65,82,100,117],"distance":[71],"a":[73,104,112,149],"close":[74],"supremum":[78],"unachievable":[81,116],"in":[83,92,118,128],"Inspired":[88],"by":[89],"this":[90,93,129],"result,":[91],"paper,":[94],"we":[95],"consider":[96,148],"subclass":[105,124],"f-divergences":[107,126],"try":[109],"show":[111],"considered":[127],"includes":[131,155],"well-known":[133],"measures,":[134],"KL":[141,158],"divergence,":[142],"Hellinger":[144],"distance.":[145],"We":[146],"also":[147],"class":[150],"normalized":[152,157],"which":[154],"divergence.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
