{"id":"https://openalex.org/W2573319292","doi":"https://doi.org/10.1109/isit.2017.8006793","title":"Variable-length lossy compression allowing positive overflow and excess distortion probabilities","display_name":"Variable-length lossy compression allowing positive overflow and excess distortion probabilities","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2573319292","doi":"https://doi.org/10.1109/isit.2017.8006793","mag":"2573319292"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006793","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1701.01800","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032142245","display_name":"Shota Saito","orcid":"https://orcid.org/0000-0003-2256-4598"},"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":"Shota Saito","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047903778","display_name":"Hideki Yagi","orcid":"https://orcid.org/0000-0003-0961-7077"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideki Yagi","raw_affiliation_strings":["The University of Electro-Communications","The Univ. of Electro-Communications#TAB#"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"The Univ. of Electro-Communications#TAB#","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110471799","display_name":"Toshiyasu Matsushima","orcid":null},"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":false,"raw_author_name":"Toshiyasu Matsushima","raw_affiliation_strings":["Waseda University"],"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032142245"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00406757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1568","last_page":"1572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12162","display_name":"Cellular Automata and Applications","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/mathematics","display_name":"Mathematics","score":0.665580153465271},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.6315860748291016},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.6202932596206665},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6012163162231445},{"id":"https://openalex.org/keywords/code-word","display_name":"Code word","score":0.5103866457939148},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.49490565061569214},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4794518053531647},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.47443854808807373},{"id":"https://openalex.org/keywords/shannons-source-coding-theorem","display_name":"Shannon's source coding theorem","score":0.47293829917907715},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4434286057949066},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.43562740087509155},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4266621768474579},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.38371145725250244},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35316890478134155},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3251933753490448},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.2555283010005951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.23757490515708923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20447883009910583},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.16410884261131287}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.665580153465271},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.6315860748291016},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.6202932596206665},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6012163162231445},{"id":"https://openalex.org/C153207627","wikidata":"https://www.wikidata.org/wiki/Q863873","display_name":"Code word","level":3,"score":0.5103866457939148},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.49490565061569214},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4794518053531647},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.47443854808807373},{"id":"https://openalex.org/C177409962","wikidata":"https://www.wikidata.org/wiki/Q2411312","display_name":"Shannon's source coding theorem","level":5,"score":0.47293829917907715},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4434286057949066},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.43562740087509155},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4266621768474579},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.38371145725250244},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35316890478134155},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3251933753490448},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2555283010005951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.23757490515708923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20447883009910583},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.16410884261131287},{"id":"https://openalex.org/C44415725","wikidata":"https://www.wikidata.org/wiki/Q4913893","display_name":"Binary entropy function","level":3,"score":0.0},{"id":"https://openalex.org/C49775889","wikidata":"https://www.wikidata.org/wiki/Q6795896","display_name":"Maximum entropy thermodynamics","level":4,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/isit.2017.8006793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006793","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"},{"id":"pmh:oai:arXiv.org:1701.01800","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.01800","pdf_url":"https://arxiv.org/pdf/1701.01800","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"},{"id":"mag:2573319292","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1701.01800","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1701.01800","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1701.01800","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1701.01800","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.01800","pdf_url":"https://arxiv.org/pdf/1701.01800","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2573319292.pdf","grobid_xml":"https://content.openalex.org/works/W2573319292.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1662682717","https://openalex.org/W2011095115","https://openalex.org/W2021456951","https://openalex.org/W2023479037","https://openalex.org/W2041980977","https://openalex.org/W2067778972","https://openalex.org/W2123485355","https://openalex.org/W2131076893","https://openalex.org/W2140011942","https://openalex.org/W2518351301","https://openalex.org/W2558005718","https://openalex.org/W2963102622","https://openalex.org/W4251984466","https://openalex.org/W6733229059"],"related_works":["https://openalex.org/W2963567577","https://openalex.org/W2921576692","https://openalex.org/W2104147334","https://openalex.org/W2963790540","https://openalex.org/W1990500845","https://openalex.org/W1910181725","https://openalex.org/W1993316749","https://openalex.org/W2885663622","https://openalex.org/W1998565101","https://openalex.org/W2128106480","https://openalex.org/W2159998880","https://openalex.org/W1485153201","https://openalex.org/W2962915224","https://openalex.org/W2065813734","https://openalex.org/W2233268225","https://openalex.org/W2167648159","https://openalex.org/W2964260149","https://openalex.org/W2608882164","https://openalex.org/W2137753450","https://openalex.org/W2011095115"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,13,17,22,39,42,62,69],"problem":[4],"of":[5,25,38],"variable-length":[6],"lossy":[7],"source":[8],"coding.":[9],"We":[10],"deal":[11],"with":[12],"case":[14],"where":[15],"both":[16],"excess":[18],"distortion":[19],"probability":[20,24,44],"and":[21,55],"overflow":[23,43],"codeword":[26],"length":[27],"are":[28,58],"less":[29],"than":[30],"or":[31],"equal":[32],"to":[33],"positive":[34],"constants.":[35],"The":[36],"infimum":[37],"thresholds":[40],"on":[41],"is":[45],"characterized":[46],"by":[47],"a":[48],"smooth":[49],"max":[50],"entropy-based":[51],"quantity.":[52],"Both":[53],"non-asymptotic":[54],"asymptotic":[56],"cases":[57],"analyzed.":[59],"To":[60],"show":[61],"achievability":[63],"results,":[64],"we":[65],"do":[66],"not":[67],"utilize":[68],"random":[70],"coding":[71],"argument":[72],"but":[73],"give":[74],"an":[75],"explicit":[76],"code":[77],"construction.":[78]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
