{"id":"https://openalex.org/W2058420231","doi":"https://doi.org/10.1109/isit.2014.6874936","title":"Vector Gaussian two-terminal CEO problem under sum distortion","display_name":"Vector Gaussian two-terminal CEO problem under sum distortion","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2058420231","doi":"https://doi.org/10.1109/isit.2014.6874936","mag":"2058420231"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2014.6874936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6874936","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":"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/A5014227402","display_name":"Yinfei Xu","orcid":"https://orcid.org/0000-0003-3191-6903"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinfei Xu","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442089","display_name":"Qiao Wang","orcid":"https://orcid.org/0000-0002-5271-0472"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Wang","raw_affiliation_strings":["School of Information Science and Engineering, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014227402"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10761766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"766","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9843999743461609,"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/T10964","display_name":"Wireless Communication Security Techniques","score":0.9574999809265137,"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/converse","display_name":"Converse","score":0.6434646844863892},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6233936548233032},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5873396992683411},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5619072318077087},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.49844861030578613},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4613739252090454},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4429800510406494},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.40005356073379517},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39549940824508667},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3507075309753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25571903586387634},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.10416069626808167},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08287614583969116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07403147220611572}],"concepts":[{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.6434646844863892},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6233936548233032},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5873396992683411},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5619072318077087},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.49844861030578613},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4613739252090454},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4429800510406494},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.40005356073379517},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39549940824508667},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3507075309753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25571903586387634},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.10416069626808167},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08287614583969116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07403147220611572},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2014.6874936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6874936","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1660697917","https://openalex.org/W1990378041","https://openalex.org/W2003388165","https://openalex.org/W2027121408","https://openalex.org/W2030546921","https://openalex.org/W2056129277","https://openalex.org/W2097257973","https://openalex.org/W2139389209","https://openalex.org/W2149320643","https://openalex.org/W2165322425","https://openalex.org/W2553885540","https://openalex.org/W3216977419","https://openalex.org/W6637065100"],"related_works":["https://openalex.org/W2387449261","https://openalex.org/W2418518962","https://openalex.org/W2963377682","https://openalex.org/W2043159103","https://openalex.org/W2391769344","https://openalex.org/W4297790016","https://openalex.org/W2359260952","https://openalex.org/W2769269860","https://openalex.org/W2020701214","https://openalex.org/W3153752017"],"abstract_inverted_index":{"This":[0],"paper":[1],"characterizes":[2],"the":[3,7,13,38,42,46,65,78,83,89],"rate":[4,43,80],"region":[5,81],"of":[6,27,41,49,60,64,82],"vector":[8,84],"Gaussian":[9,85],"CEO":[10,86],"problem":[11,87],"with":[12,57,88],"trace":[14,90],"distortion":[15,44,91],"constraint.":[16],"We":[17],"develop":[18],"a":[19,95],"new":[20],"analysis":[21,59],"technique":[22],"based":[23],"on":[24],"spectral":[25],"decomposition":[26],"mean":[28],"square":[29],"error":[30],"in":[31],"Berger-Tung":[32,73],"scheme.":[33],"In":[34],"order":[35],"to":[36],"prove":[37],"converse":[39],"part":[40],"region,":[45],"perturbation":[47],"method":[48],"Wang":[50],"and":[51],"Chen":[52],"is":[53],"utilized":[54],"through":[55],"combining":[56],"detailed":[58],"Karush-Kuhn-Tucker":[61],"necessary":[62],"conditions":[63],"non-convex":[66],"optimization":[67],"problem.":[68],"Finally,":[69],"we":[70],"show":[71],"that":[72],"inner":[74],"bound":[75],"can":[76],"achieve":[77],"entire":[79],"constraint,":[92],"via":[93],"deriving":[94],"novel":[96],"extremal":[97],"inequality.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}