{"id":"https://openalex.org/W1999453492","doi":"https://doi.org/10.1109/itw.2013.6691295","title":"Nonasymptotic noisy lossy source coding","display_name":"Nonasymptotic noisy lossy source coding","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1999453492","doi":"https://doi.org/10.1109/itw.2013.6691295","mag":"1999453492"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2013.6691295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2013.6691295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5001633086","display_name":"Victoria Kostina","orcid":"https://orcid.org/0000-0002-2406-7440"},"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":"Victoria Kostina","raw_affiliation_strings":["Dept. of Electrical Engineering, Princeton University, NJ, USA","Department of Electrical Engineering, Princeton University, NJ 08544, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"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":["Dept. of Electrical Engineering, Princeton University, NJ, USA","Department of Electrical Engineering, Princeton University, NJ 08544, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, NJ, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, NJ 08544, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1051,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80221888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965000152587891,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.9301598072052002},{"id":"https://openalex.org/keywords/converse","display_name":"Converse","score":0.8702206611633301},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5351594090461731},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5142135620117188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5077139139175415},{"id":"https://openalex.org/keywords/distortion-function","display_name":"Distortion function","score":0.5066683888435364},{"id":"https://openalex.org/keywords/channel-code","display_name":"Channel code","score":0.5019257068634033},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.48284775018692017},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.4417757987976074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4384249746799469},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4147113561630249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3950740098953247},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.3850853443145752},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3836636245250702},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35153627395629883},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3275693655014038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12735974788665771},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1258525252342224},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12346190214157104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0787210762500763},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0754132866859436}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.9301598072052002},{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.8702206611633301},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5351594090461731},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5142135620117188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5077139139175415},{"id":"https://openalex.org/C2780803321","wikidata":"https://www.wikidata.org/wiki/Q5283073","display_name":"Distortion function","level":3,"score":0.5066683888435364},{"id":"https://openalex.org/C166366890","wikidata":"https://www.wikidata.org/wiki/Q602136","display_name":"Channel code","level":3,"score":0.5019257068634033},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48284775018692017},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.4417757987976074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4384249746799469},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4147113561630249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3950740098953247},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3850853443145752},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3836636245250702},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35153627395629883},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3275693655014038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12735974788665771},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1258525252342224},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12346190214157104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0787210762500763},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0754132866859436},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw.2013.6691295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2013.6691295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1484170624","https://openalex.org/W1544902333","https://openalex.org/W1584278176","https://openalex.org/W1987719797","https://openalex.org/W1990742913","https://openalex.org/W2001921622","https://openalex.org/W2007322225","https://openalex.org/W2033497516","https://openalex.org/W2114085948","https://openalex.org/W2118515406","https://openalex.org/W2121427778","https://openalex.org/W2135469284","https://openalex.org/W2166571310","https://openalex.org/W3105659800","https://openalex.org/W3158116462","https://openalex.org/W6632595725"],"related_works":["https://openalex.org/W1413489299","https://openalex.org/W4289655361","https://openalex.org/W2148508315","https://openalex.org/W2089848464","https://openalex.org/W2106025666","https://openalex.org/W2000669813","https://openalex.org/W2767580541","https://openalex.org/W2059965583","https://openalex.org/W2164061852","https://openalex.org/W2166983179"],"abstract_inverted_index":{"This":[0],"paper":[1],"shows":[2],"new":[3],"general":[4],"nonasymptotic":[5],"achievability":[6],"and":[7,10],"converse":[8],"bounds":[9],"performs":[11],"their":[12,57],"dispersion":[13],"analysis":[14],"for":[15],"the":[16,22,25,63],"lossy":[17,40],"compression":[18],"problem":[19,33,43],"in":[20,54],"which":[21],"compressor":[23],"observes":[24],"source":[26,41],"through":[27],"a":[28,38,45,52],"noisy":[29],"channel.":[30],"While":[31],"this":[32],"is":[34,51],"asymptotically":[35],"equivalent":[36],"to":[37],"noiseless":[39],"coding":[42,60],"with":[44],"modified":[46],"distortion":[47],"function,":[48,65],"nonasymptotically":[49],"there":[50],"difference":[53],"how":[55],"fast":[56],"minimum":[58],"achievable":[59],"rates":[61],"approach":[62],"rate-distortion":[64],"providing":[66],"yet":[67],"another":[68],"example":[69],"where":[70],"at":[71],"finite":[72],"blocklengths":[73],"one":[74],"must":[75],"put":[76],"aside":[77],"traditional":[78],"asymptotic":[79],"thinking.":[80]},"counts_by_year":[{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}