{"id":"https://openalex.org/W3174222135","doi":"https://doi.org/10.1109/itw46852.2021.9457657","title":"Relationship Between Source Resolvability with Normalized f -Divergence and Fixed-Length Coding","display_name":"Relationship Between Source Resolvability with Normalized f -Divergence and Fixed-Length Coding","publication_year":2021,"publication_date":"2021-04-11","ids":{"openalex":"https://openalex.org/W3174222135","doi":"https://doi.org/10.1109/itw46852.2021.9457657","mag":"3174222135"},"language":"en","primary_location":{"id":"doi:10.1109/itw46852.2021.9457657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw46852.2021.9457657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Information Theory Workshop (ITW)","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":0.1003,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41474794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9975000023841858,"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":0.9850999712944031,"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/divergence","display_name":"Divergence (linguistics)","score":0.7593942880630493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.640764057636261},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5529110431671143},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5389900803565979},{"id":"https://openalex.org/keywords/exponent","display_name":"Exponent","score":0.4900926351547241},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.4606807827949524},{"id":"https://openalex.org/keywords/code-rate","display_name":"Code rate","score":0.450447678565979},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3996116518974304},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3689517378807068},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3515816926956177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3210345506668091},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2974839210510254},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.2703705430030823}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7593942880630493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.640764057636261},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5529110431671143},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5389900803565979},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.4900926351547241},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.4606807827949524},{"id":"https://openalex.org/C206468330","wikidata":"https://www.wikidata.org/wiki/Q834373","display_name":"Code rate","level":3,"score":0.450447678565979},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3996116518974304},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3689517378807068},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3515816926956177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3210345506668091},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2974839210510254},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.2703705430030823},{"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/itw46852.2021.9457657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw46852.2021.9457657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1990309618","https://openalex.org/W2052629148","https://openalex.org/W2140011942","https://openalex.org/W2162635854","https://openalex.org/W2166857777","https://openalex.org/W2518143623","https://openalex.org/W2887774187","https://openalex.org/W3042477712","https://openalex.org/W3102159535","https://openalex.org/W3105462203","https://openalex.org/W4251984466","https://openalex.org/W4293404332"],"related_works":["https://openalex.org/W2117827073","https://openalex.org/W2165433022","https://openalex.org/W80491500","https://openalex.org/W2108244046","https://openalex.org/W2890316898","https://openalex.org/W3146082519","https://openalex.org/W2147269671","https://openalex.org/W2110738045","https://openalex.org/W2139746419","https://openalex.org/W2361492675"],"abstract_inverted_index":{"This":[0,126],"paper":[1],"deals":[2],"with":[3,35,87,98,105,115,139,167,186],"the":[4,7,17,23,29,38,44,55,60,64,82,90,99,106,111,135,142,155,164,179,182,194,198],"relationship":[5,53,97,180],"between":[6,54,181],"source":[8,19,66,84,102,200],"resolvability":[9,12,30,33,57,85,113,137,156,165,184],"problem":[10,13,31,166],"(or":[11],"for":[14],"short)":[15],"and":[16,59,193],"fixed-length":[18,65,101,199],"coding":[20,67,103],"problem.":[21,157],"In":[22,75,175],"literature,":[24],"optimum":[25,56,61,83,100,112,136,183,195],"achievable":[26],"rates":[27],"in":[28,72,154,159],"(optimum":[32],"rate)":[34],"respect":[36,88,116,140,168],"to":[37,89,117,141,169],"variational":[39],"distance":[40],"as":[41,43,131],"well":[42],"Kullback-Leibler":[45],"(KL)":[46],"divergence,":[47],"have":[48],"already":[49],"been":[50,70,79,124,151],"analyzed.":[51,125],"The":[52],"rate":[58,62,86,104,114,138,185,196],"of":[63,120,134,172,189,197],"has":[68,78,94,123,149],"also":[69],"clarified":[71],"each":[73],"cases.":[74],"particular,":[76,176],"it":[77],"reported":[80],"that":[81],"normalized":[91,190],"KL":[92,144],"divergence":[93],"a":[95,118,132,170,187],"close":[96],"correct":[107],"decoding":[108],"exponent.":[109],"Recently,":[110],"class":[119,171,188],"f":[121],"-divergences":[122],"result":[127],"can":[128],"be":[129],"considered":[130,152],"generalization":[133],"unnormalized":[143,147,173],"divergence.":[145],"However,":[146],"f-divergences":[148],"not":[150],"yet":[153],"Hence,":[158],"this":[160],"paper,":[161],"we":[162,177],"consider":[163],"f-divergences.":[174],"derive":[178],"f-":[191],"divergences":[192],"coding.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
