{"id":"https://openalex.org/W1992039081","doi":"https://doi.org/10.1109/isit.2005.1523326","title":"On the quadratic AWGN CEO problem and non-gaussian sources","display_name":"On the quadratic AWGN CEO problem and non-gaussian sources","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1992039081","doi":"https://doi.org/10.1109/isit.2005.1523326","mag":"1992039081"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2005.1523326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/169509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008189820","display_name":"Krishnan Eswaran","orcid":"https://orcid.org/0000-0003-0241-5771"},"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":true,"raw_author_name":"K. Eswaran","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, CA, USA","Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063528341","display_name":"Michael Gastpar","orcid":"https://orcid.org/0000-0002-5499-5336"},"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. Gastpar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, CA, USA","Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Dept. of Electr. Eng. and Comput. Sci., California Univ., Berkeley, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008189820"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":1.8138,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84943982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10964","display_name":"Wireless Communication Security Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9939000010490417,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.9483000040054321,"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/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.7969496250152588},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7151217460632324},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6360710263252258},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5597396492958069},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5589905381202698},{"id":"https://openalex.org/keywords/rate-distortion","display_name":"Rate distortion","score":0.5264806747436523},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48153525590896606},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4677702784538269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46564018726348877},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4305270314216614},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.42530545592308044},{"id":"https://openalex.org/keywords/rate\u2013distortion-theory","display_name":"Rate\u2013distortion theory","score":0.41325193643569946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3535997271537781},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3177456259727478},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2882944941520691},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25610530376434326},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1893983781337738},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1638718843460083},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11959102749824524},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09723347425460815}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.7969496250152588},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7151217460632324},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6360710263252258},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5597396492958069},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5589905381202698},{"id":"https://openalex.org/C2982755384","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate distortion","level":3,"score":0.5264806747436523},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48153525590896606},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4677702784538269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46564018726348877},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4305270314216614},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.42530545592308044},{"id":"https://openalex.org/C64185310","wikidata":"https://www.wikidata.org/wiki/Q843483","display_name":"Rate\u2013distortion theory","level":3,"score":0.41325193643569946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3535997271537781},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3177456259727478},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2882944941520691},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25610530376434326},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1893983781337738},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1638718843460083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11959102749824524},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09723347425460815},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit.2005.1523326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.3826","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3826","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sipc.eecs.berkeley.edu/pubs/ke_mg_isit05/ke_mg_isit05.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.tind.io:169509","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/169509","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/169509","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.tind.io:169509","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/169509","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/169509","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1608472120","https://openalex.org/W1776167994","https://openalex.org/W1990992471","https://openalex.org/W2068143054","https://openalex.org/W2080570118","https://openalex.org/W2099111195","https://openalex.org/W2109547112","https://openalex.org/W2111616148","https://openalex.org/W2136968358","https://openalex.org/W2169926177","https://openalex.org/W3216977419","https://openalex.org/W4285719527","https://openalex.org/W6677303363"],"related_works":["https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W1413489299","https://openalex.org/W2148508315","https://openalex.org/W2120182993","https://openalex.org/W2101208289","https://openalex.org/W2050833135","https://openalex.org/W2587249265","https://openalex.org/W1506877045"],"abstract_inverted_index":{"In":[0],"the":[1,33,46,55,62,65,73,85,106,111,141,145,148,166],"CEO":[2,15,51,58,86,146],"problem,":[3],"introduced":[4],"by":[5],"Berger":[6],"et":[7],"al,":[8],"IEEE":[9],"Trans.":[10],"Info.":[11],"Theory,":[12],"1996,":[13],"a":[14,19,127,137],"is":[16,75,109,114,163],"interested":[17],"in":[18],"source":[20,34,66,113,122,154],"that":[21,124],"cannot":[22],"be":[23],"observed":[24],"directly.":[25],"M":[26],"agents":[27,63],"observe":[28],"independently":[29],"noisy":[30],"versions":[31],"of":[32,57,93,159],"and,":[35],"without":[36],"collaborating,":[37],"must":[38],"encode":[39],"these":[40],"across":[41],"noiseless":[42],"rate-constrained":[43],"channels":[44],"to":[45,54,84,126],"CEO.":[47],"The":[48,95,131],"quadratic":[49],"AWGN":[50],"problem":[52],"refers":[53],"class":[56,92],"problems":[59],"for":[60,90],"which":[61],"view":[64],"through":[67],"additive":[68],"white":[69],"Gaussian":[70,115],"noise,":[71],"and":[72,147,156],"distortion":[74,88],"squared":[76],"error.":[77],"This":[78],"paper":[79],"discusses":[80],"two":[81,103],"upper":[82,133],"bounds":[83],"sum-rate":[87],"function":[89],"this":[91,161],"problems.":[94],"first":[96,167],"follows":[97,135],"from":[98,136],"elementary":[99],"arguments.":[100],"It":[101],"permits":[102],"conclusions.":[104],"First,":[105],"worst":[107],"case":[108],"when":[110],"underlying":[112],"(for":[116],"fixed":[117],"variance).":[118],"Second,":[119],"there":[120],"are":[121],"distributions":[123,155],"lead":[125],"significantly":[128],"better":[129,164],"behavior.":[130],"second":[132],"bound":[134,139,162],"new":[138],"on":[140],"rate":[142],"loss":[143],"between":[144],"remote":[149],"rate-distortion":[150],"function.":[151],"For":[152],"certain":[153,157],"ranges":[158],"distortion,":[160],"than":[165]},"counts_by_year":[{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
