{"id":"https://openalex.org/W2089067559","doi":"https://doi.org/10.1109/itw.2006.1633825","title":"Low-density constructions for lossy compression, binning, and coding with side information","display_name":"Low-density constructions for lossy compression, binning, and coding with side information","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2089067559","doi":"https://doi.org/10.1109/itw.2006.1633825","mag":"2089067559"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2006.1633825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2006.1633825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Information Theory Workshop","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/A5018597636","display_name":"Emin Martinian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"E. Martinian","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038379562","display_name":"Martin J. Wainwright","orcid":"https://orcid.org/0000-0002-8760-2236"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.J. Wainwright","raw_affiliation_strings":["Department of Statistics and Department of EECS, University of California Berkeley, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Department of EECS, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018597636"],"corresponding_institution_ids":["https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.6036,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72128683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"263","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9997000098228455,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7713367938995361},{"id":"https://openalex.org/keywords/low-density-parity-check-code","display_name":"Low-density parity-check code","score":0.7500973343849182},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.7148835062980652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6438689231872559},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.6271518468856812},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5641024708747864},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5251052975654602},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5082104206085205},{"id":"https://openalex.org/keywords/shannon\u2013fano-coding","display_name":"Shannon\u2013Fano coding","score":0.5004706382751465},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4683398902416229},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4209356904029846},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3427543640136719},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23528525233268738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09020057320594788},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08842512965202332}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7713367938995361},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.7500973343849182},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.7148835062980652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6438689231872559},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.6271518468856812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5641024708747864},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5251052975654602},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5082104206085205},{"id":"https://openalex.org/C130811719","wikidata":"https://www.wikidata.org/wiki/Q2645","display_name":"Shannon\u2013Fano coding","level":4,"score":0.5004706382751465},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4683398902416229},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4209356904029846},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3427543640136719},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23528525233268738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09020057320594788},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08842512965202332},{"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/itw.2006.1633825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2006.1633825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Information Theory Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1544902333","https://openalex.org/W2011442073","https://openalex.org/W2061302090","https://openalex.org/W2064229749","https://openalex.org/W2108226783","https://openalex.org/W2109870918","https://openalex.org/W2111992817","https://openalex.org/W2119677726","https://openalex.org/W2130032292","https://openalex.org/W2132854742","https://openalex.org/W2133882791","https://openalex.org/W2142532936","https://openalex.org/W2143580991","https://openalex.org/W2150412388","https://openalex.org/W2169732368","https://openalex.org/W3169111758","https://openalex.org/W4298315916","https://openalex.org/W4300188436","https://openalex.org/W6632595725","https://openalex.org/W6796564892"],"related_works":["https://openalex.org/W2572458422","https://openalex.org/W3146900567","https://openalex.org/W2006624750","https://openalex.org/W2554094894","https://openalex.org/W2138256990","https://openalex.org/W2098608851","https://openalex.org/W2006979414","https://openalex.org/W2146963604","https://openalex.org/W2168369297","https://openalex.org/W3097168587"],"abstract_inverted_index":{"In":[0],"this":[1],"extended":[2],"abstract,":[3],"we":[4],"provide":[5],"a":[6,129],"high-level":[7],"overview":[8],"of":[9,11,68,85,131],"some":[10],"our":[12],"recent":[13],"work":[14,117],"[10],":[15],"[11],":[16],"[9]":[17],"on":[18,128],"low-density":[19,39,81,139],"graphical":[20,36,123],"codes":[21],"for":[22,61],"various":[23,75],"communication":[24,63],"problems":[25,55,87,120],"including":[26],"lossy":[27,90],"compression,":[28],"binning,":[29],"and":[30,47,71,105,134],"coding":[31,54,92,97,108],"with":[32,79,98,109],"side":[33,99,110],"information.":[34],"Sparse":[35],"codes,":[37,43,133],"particularly":[38],"parity":[40],"check":[41],"(LDPC)":[42],"are":[44,126],"widely":[45],"used":[46],"well":[48],"understood":[49],"in":[50],"application":[51],"to":[52],"channel":[53,70,107],"[16].":[56],"On":[57],"the":[58],"other":[59,62],"hand,":[60],"problems\u2014especially":[64],"those":[65],"involving":[66],"aspects":[67],"both":[69],"source":[72,91,96],"coding\u2014there":[73],"remain":[74],"open":[76],"questions":[77],"associated":[78],"using":[80,121],"code":[82],"constructions.":[83],"Examples":[84],"such":[86],"include":[88],"(a)":[89],"(data":[93],"compression);":[94],"(b)":[95],"information":[100,111],"(the":[101,112],"Wyner-Ziv":[102],"problem":[103,114],"[19]),":[104],"(c)":[106],"Gelfand-Pinsker":[113],"[7]).":[115],"Our":[116],"tackles":[118],"these":[119],"sparse":[122],"constructions":[124],"that":[125],"based":[127],"combination":[130],"LDPC":[132],"their":[135],"dual":[136],"versions,":[137],"namely":[138],"generator":[140],"matrix":[141],"(LDGM)":[142],"codes.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}