{"id":"https://openalex.org/W2165333293","doi":"https://doi.org/10.1109/tit.1969.1054300","title":"Robust detection using extreme-value theory","display_name":"Robust detection using extreme-value theory","publication_year":1969,"publication_date":"1969-05-01","ids":{"openalex":"https://openalex.org/W2165333293","doi":"https://doi.org/10.1109/tit.1969.1054300","mag":"2165333293"},"language":"en","primary_location":{"id":"doi:10.1109/tit.1969.1054300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1969.1054300","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-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/A5035945635","display_name":"L.B. Milstein","orcid":null},"institutions":[{"id":"https://openalex.org/I200576644","display_name":"HRL Laboratories (United States)","ror":"https://ror.org/05p7te762","country_code":"US","type":"company","lineage":["https://openalex.org/I200576644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Milstein","raw_affiliation_strings":["Hughes Aircraft Company, El Segundo, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hughes Aircraft Company, El Segundo, CA, USA","institution_ids":["https://openalex.org/I200576644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023419740","display_name":"D. L. Schilling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Schilling","raw_affiliation_strings":["Department of Electrical Engineering, Polytechnic Institute of Brooklyn, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Polytechnic Institute of Brooklyn, Brooklyn, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030464529","display_name":"J.K. Wolf","orcid":"https://orcid.org/0009-0007-1780-5242"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Wolf","raw_affiliation_strings":["Department of Electrical Engineering, Polytechnic Institute of Brooklyn, Brooklyn, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Polytechnic Institute of Brooklyn, Brooklyn, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.36340316,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":"3","first_page":"370","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.955299973487854,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.955299973487854,"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/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9491999745368958,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9424999952316284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.7723381519317627},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.7100435495376587},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.6044549942016602},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5999139547348022},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5944241285324097},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5696896910667419},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.548761785030365},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.519053041934967},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5021114349365234},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48389706015586853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44080233573913574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4399820864200592},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4311577379703522},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4221647083759308},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39192718267440796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21900144219398499},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18499284982681274},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18373090028762817},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.0928342342376709}],"concepts":[{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.7723381519317627},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.7100435495376587},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.6044549942016602},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5999139547348022},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5944241285324097},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5696896910667419},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.548761785030365},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.519053041934967},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5021114349365234},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48389706015586853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44080233573913574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4399820864200592},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4311577379703522},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4221647083759308},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39192718267440796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21900144219398499},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18499284982681274},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18373090028762817},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0928342342376709},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.1969.1054300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.1969.1054300","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W643008456","https://openalex.org/W1980385416","https://openalex.org/W2044219616","https://openalex.org/W2096647193","https://openalex.org/W2106485919","https://openalex.org/W2120062331","https://openalex.org/W2160667543","https://openalex.org/W2746378511","https://openalex.org/W2748777235","https://openalex.org/W2796259615","https://openalex.org/W2797569913","https://openalex.org/W4214683347","https://openalex.org/W4236154753"],"related_works":["https://openalex.org/W1872459703","https://openalex.org/W2043939287","https://openalex.org/W2387156362","https://openalex.org/W2074073404","https://openalex.org/W2036807298","https://openalex.org/W4285814784","https://openalex.org/W2072903707","https://openalex.org/W1965055812","https://openalex.org/W1966535600","https://openalex.org/W2093613770"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,9,31,33,46,67,76],"extreme-value":[3],"theory":[4],"(EVT)":[5],"in":[6,13],"the":[7,25,29,34,47,65,71,77],"detection":[8],"a":[10,68],"binary":[11],"signal":[12],"additive,":[14],"but":[15],"statistically":[16],"unknown,":[17],"noise":[18],"is":[19,22,88],"considered.":[20,63],"It":[21],"shown":[23],"that":[24],"optimum":[26],"threshold":[27],"and":[28,58,82],"probability":[30,49],"error":[32],"system":[35],"can":[36],"be":[37],"accurately":[38],"estimated":[39],"by":[40,90],"using":[41],"EVT":[42],"to":[43],"obtain":[44],"properties":[45],"initial":[48,85],"density":[50],"functions":[51],"on":[52],"their":[53],"\"tails.\"":[54],"Both":[55],"constant":[56,78],"signals":[57,61],"slowly":[59],"fading":[60,69],"are":[62],"In":[64],"case":[66],"signal,":[70,79],"detector":[72],"becomes":[73],"adaptive.":[74],"Detection":[75],"both":[80],"with":[81],"without":[83],"an":[84],"learning":[86],"period,":[87],"studied":[89],"computer":[91],"simulation.":[92]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
