{"id":"https://openalex.org/W2952511517","doi":"https://doi.org/10.1109/isit.2014.6875320","title":"Variable-length compression allowing errors","display_name":"Variable-length compression allowing errors","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2952511517","doi":"https://doi.org/10.1109/isit.2014.6875320","mag":"2952511517"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2014.6875320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6875320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","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/1402.0608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001633086","display_name":"Victoria Kostina","orcid":"https://orcid.org/0000-0002-2406-7440"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Victoria Kostina","raw_affiliation_strings":["Princeton University","California Inst. of Tech., Pasadena, CA., USA"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"California Inst. of Tech., Pasadena, CA., USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031031216","display_name":"Yury Polyanskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109586","display_name":"Moscow Institute of Thermal Technology","ror":"https://ror.org/021es5e59","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210109586"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["RU","US"],"is_corresponding":false,"raw_author_name":"Yury Polyanskiy","raw_affiliation_strings":["MIT","Massachusetts Institute of Technology Cambridge, MA USA"],"affiliations":[{"raw_affiliation_string":"MIT","institution_ids":["https://openalex.org/I4210109586"]},{"raw_affiliation_string":"Massachusetts Institute of Technology Cambridge, MA USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103184697","display_name":"Sergio Verd\u00fa","orcid":"https://orcid.org/0000-0003-1254-9116"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergio Verdu","raw_affiliation_strings":["Princeton University","Princeton University, Princeton, NJ USA"],"affiliations":[{"raw_affiliation_string":"Princeton University","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Princeton University, Princeton, NJ USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001633086"],"corresponding_institution_ids":["https://openalex.org/I122411786","https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":0.6383,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7597799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","issue":null,"first_page":"2679","last_page":"2683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7028802633285522},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6354568600654602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5492919087409973},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.546120285987854},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5171931982040405},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5076731443405151},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4778803884983063},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.44619283080101013},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.4290214478969574},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4192768335342407},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.4133959710597992},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3721936345100403},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.3144835829734802},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.22535517811775208},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16654154658317566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1508789360523224},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.11220631003379822},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10296261310577393}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7028802633285522},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6354568600654602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5492919087409973},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.546120285987854},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5171931982040405},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5076731443405151},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4778803884983063},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.44619283080101013},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.4290214478969574},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4192768335342407},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.4133959710597992},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3721936345100403},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.3144835829734802},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.22535517811775208},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16654154658317566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1508789360523224},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.11220631003379822},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10296261310577393},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.0},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.0},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":9,"locations":[{"id":"doi:10.1109/isit.2014.6875320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6875320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1402.0608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.0608","pdf_url":"https://arxiv.org/pdf/1402.0608","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":"","raw_type":null},{"id":"mag:2952511517","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1402.0608","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":"pmh:oai:authors.library.caltech.edu:59088","is_oa":false,"landing_page_url":"https://authors.library.caltech.edu/59088/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402161","display_name":"CaltechAUTHORS (California Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122411786","host_organization_name":"California Institute of Technology","host_organization_lineage":["https://openalex.org/I122411786"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.642.8589","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.642.8589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.princeton.edu/~verdu/reprints/varrateISIT-1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.696.433","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.princeton.edu/%7Everdu/reprints/VKYPSV-Aug2015.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/100994","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/100994","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"pmh:oai:dspace.mit.edu:1721.1/121939","is_oa":true,"landing_page_url":"https://hdl.handle.net/1721.1/121939","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"http://purl.org/eprint/type/JournalArticle"},{"id":"doi:10.48550/arxiv.1402.0608","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1402.0608","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-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1402.0608","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1402.0608","pdf_url":"https://arxiv.org/pdf/1402.0608","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":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W79265410","https://openalex.org/W616377252","https://openalex.org/W623155509","https://openalex.org/W1484170624","https://openalex.org/W1549664537","https://openalex.org/W2011095115","https://openalex.org/W2014386383","https://openalex.org/W2020513539","https://openalex.org/W2067842543","https://openalex.org/W2089272304","https://openalex.org/W2098632144","https://openalex.org/W2100541918","https://openalex.org/W2106864314","https://openalex.org/W2110092782","https://openalex.org/W2128505914","https://openalex.org/W2131076893","https://openalex.org/W2140034802","https://openalex.org/W2143603891","https://openalex.org/W2149685491","https://openalex.org/W2158671532","https://openalex.org/W2160474927","https://openalex.org/W2166571310","https://openalex.org/W2169249327","https://openalex.org/W2176709902","https://openalex.org/W2931290147","https://openalex.org/W2949985303","https://openalex.org/W3158116462","https://openalex.org/W4251984466"],"related_works":["https://openalex.org/W1814806106","https://openalex.org/W3012863690","https://openalex.org/W3105659800","https://openalex.org/W2742819609","https://openalex.org/W2949951174","https://openalex.org/W2790601016","https://openalex.org/W2886354132","https://openalex.org/W1591827030","https://openalex.org/W3159722054","https://openalex.org/W3184617193","https://openalex.org/W3081098101","https://openalex.org/W1496460815","https://openalex.org/W2036491047","https://openalex.org/W2397977086","https://openalex.org/W2743822564","https://openalex.org/W2013890117","https://openalex.org/W2170608172","https://openalex.org/W3106027096","https://openalex.org/W76199631","https://openalex.org/W595566577"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,7,27,48,53,72,76,82,93],"fundamental":[4],"limits":[5],"of":[6,11,33,50,75,100],"minimum":[8,28],"average":[9,29],"length":[10,30],"variable-length":[12,125],"compression":[13,127],"when":[14],"a":[15,44,98,112],"nonzero":[16,86],"error":[17,87],"probability":[18,88],"\u03b5":[19],"is":[20,56,71,81,107],"tolerated.":[21],"We":[22],"give":[23],"non-asymptotic":[24],"bounds":[25,41],"on":[26,47],"in":[31],"terms":[32],"Erokhin's":[34],"rate-distortion":[35],"function":[36],"and":[37,78,116],"we":[38,122],"use":[39],"those":[40],"to":[42,52],"obtain":[43],"Gaussian":[45],"approximation":[46],"speed":[49],"approach":[51],"limit":[54,106],"which":[55],"quite":[57],"accurate":[58],"for":[59],"all":[60],"but":[61,102],"small":[62],"blocklengths:":[63],"equation":[64],"where":[65],"Q":[66],"<sup":[67],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[68],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-1</sup>":[69],"(\u00b7)":[70],"functional":[73],"inverse":[74],"Q-function":[77],"V":[79],"(S)":[80],"source":[83,114],"dispersion.":[84],"A":[85],"thus":[89],"not":[90],"only":[91],"reduces":[92],"asymptotically":[94],"achievable":[95],"rate":[96],"by":[97],"factor":[99],"1-\u03b5,":[101],"also":[103,132],"this":[104],"asymptotic":[105],"approached":[108],"from":[109],"below,":[110],"i.e.":[111],"larger":[113],"dispersion":[115],"shorter":[117],"blocklengths":[118],"are":[119],"beneficial.":[120],"Further,":[121],"show":[123],"that":[124],"lossy":[126],"under":[128],"excess":[129],"distortion":[130],"constraint":[131],"exhibits":[133],"similar":[134],"properties.":[135]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
