{"id":"https://openalex.org/W2138573630","doi":"https://doi.org/10.1109/isit.2011.6034278","title":"Cliff effect suppression through multiple-descriptions with split personality","display_name":"Cliff effect suppression through multiple-descriptions with split personality","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2138573630","doi":"https://doi.org/10.1109/isit.2011.6034278","mag":"2138573630"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2011.6034278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6034278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025909058","display_name":"Silvija Kokalj-Filipovi\u0107","orcid":"https://orcid.org/0000-0002-7548-4092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silvija Kokalj-Filipovic","raw_affiliation_strings":["Bell Laboratories, Alcatel-Lucent, USA","Alcatel-Lucent, Bell Laboratories, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Alcatel-Lucent, USA","institution_ids":[]},{"raw_affiliation_string":"Alcatel-Lucent, Bell Laboratories, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034577486","display_name":"Emina Soljanin","orcid":"https://orcid.org/0000-0002-7464-4242"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emina Soljanin","raw_affiliation_strings":["Bell Laboratories, Alcatel-Lucent, USA","Alcatel-Lucent, Bell Laboratories, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bell Laboratories, Alcatel-Lucent, USA","institution_ids":[]},{"raw_affiliation_string":"Alcatel-Lucent, Bell Laboratories, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101923830","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0001-5607-9449"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California-Riverside (USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California-Riverside (USA)","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1889,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.81996548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9997000098228455,"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/T10125","display_name":"Advanced Wireless Communication Techniques","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.729153037071228},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5722106695175171},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5452809929847717},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5176356434822083},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4977116882801056},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4800735116004944},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46873125433921814},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4496420919895172},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.42479246854782104},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.411954790353775},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3657517433166504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3457334041595459},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.3115130066871643},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.26336121559143066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1673310399055481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729153037071228},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5722106695175171},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5452809929847717},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5176356434822083},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4977116882801056},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4800735116004944},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46873125433921814},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4496420919895172},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.42479246854782104},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.411954790353775},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3657517433166504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3457334041595459},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3115130066871643},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.26336121559143066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1673310399055481},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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":1,"locations":[{"id":"doi:10.1109/isit.2011.6034278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2011.6034278","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1580306787","https://openalex.org/W1702010395","https://openalex.org/W2123258612","https://openalex.org/W2126979605","https://openalex.org/W2134887275","https://openalex.org/W2148037789","https://openalex.org/W2165431017","https://openalex.org/W2167160216","https://openalex.org/W2171040348","https://openalex.org/W4240229621","https://openalex.org/W6637562678"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W4390516098","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W2181948922","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2384362569","https://openalex.org/W2017509870","https://openalex.org/W2031349701"],"abstract_inverted_index":{"We":[0,89,113,158],"propose":[1],"a":[2,70,82,101],"compression/transmission":[3],"scheme":[4],"that":[5,76],"allows":[6],"the":[7,10,17,27,36,49,92,106,129,144,178,190],"quality":[8,19],"of":[9,124,132,163,169,184,192],"reconstructed":[11],"signal":[12],"to":[13,34,54,100,108,138,151,176,186],"gracefully":[14],"degrade":[15],"as":[16,21,23],"channel":[18,28,37,156,164],"drops,":[20],"well":[22],"steadily":[24],"improve":[25],"with":[26,86],"improvement.":[29],"The":[30],"main":[31],"idea":[32],"is":[33],"partition":[35],"and/or":[38],"network":[39],"resources":[40],"into":[41],"m":[42,52,62],"units":[43],"(e.g.,":[44],"sub-bands,":[45],"packets)":[46],"and":[47,105,128,140],"compress":[48],"source":[50,65,111],"independently":[51,63],"times":[53],"perfectly":[55],"match":[56],"single":[57,83],"unit":[58],"resources,":[59],"thus":[60],"creating":[61],"distorted":[64],"versions.":[66],"Consequently,":[67],"we":[68],"create":[69],"multiple-description,":[71],"joint":[72],"source-channel":[73],"like":[74],"architecture,":[75],"enables":[77],"efficient":[78],"reconstruction":[79],"starting":[80],"from":[81],"received":[84],"description":[85,162],"improvements":[87],"onward.":[88],"further":[90],"split":[91],"compression":[93],"rate":[94],"in":[95,122,182,189],"two":[96,179],"parts,":[97],"allocating":[98],"one":[99],"rate-distortion":[102,152],"optimal":[103,187],"encoder,":[104],"other":[107],"transmitting":[109],"uncoded":[110],"symbols.":[112],"show":[114],"how":[115,160],"this":[116],"architecture":[117],"can":[118,173],"easily":[119],"leverage":[120],"modularity":[121],"terms":[123,183],"adjustable":[125],"rate-splitting":[126],"ratio":[127],"maximum":[130],"number":[131],"descriptions,":[133],"e.g.,":[134],"through":[135],"software":[136],"parameters,":[137],"simultaneously":[139],"robustly":[141],"(i.e.":[142],"avoiding":[143],"cliff":[145],"effect)":[146],"achieve":[147],"operating":[148],"points":[149],"close":[150],"curve":[153],"for":[154],"many":[155],"states.":[157],"demonstrate":[159],"statistical":[161],"states":[165],"(or":[166],"performance":[167],"statistics":[168],"content":[170],"delivery":[171],"network)":[172],"be":[174],"used":[175],"set":[177],"parameters":[180],"constructively":[181],"converging":[185],"operation":[188],"range":[191],"interest.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}