{"id":"https://openalex.org/W1921561834","doi":"https://doi.org/10.1109/icassp.1985.1168245","title":"Broadband detection of signals with unknown spectra","display_name":"Broadband detection of signals with unknown spectra","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1921561834","doi":"https://doi.org/10.1109/icassp.1985.1168245","mag":"1921561834"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1985.1168245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://digitalcommons.uri.edu/ele_facpubs/1397","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019494783","display_name":"Steven Kay","orcid":"https://orcid.org/0000-0002-9267-8040"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Kay","raw_affiliation_strings":["Department of Electrical Eagineering, University of Rhode Island, Kingston, RI, USA","University of Rhode Island Kingston, RI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Eagineering, University of Rhode Island, Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]},{"raw_affiliation_string":"University of Rhode Island Kingston, RI, USA","institution_ids":["https://openalex.org/I17626003"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019494783"],"corresponding_institution_ids":["https://openalex.org/I17626003"],"apc_list":null,"apc_paid":null,"fwci":0.5561,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72859174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1263","last_page":"1265"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/autoregressive-model","display_name":"Autoregressive model","score":0.9041967391967773},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.67011958360672},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.6603028774261475},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6364927887916565},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6191384792327881},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.5670084953308105},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.5618577003479004},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.5609463453292847},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.514642596244812},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5059294104576111},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4969065487384796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49297356605529785},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.47110989689826965},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4450494647026062},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.443452388048172},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.440887451171875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4266442060470581},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3566882312297821},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3526706099510193},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.32461729645729065},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2640700936317444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24256941676139832},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23890253901481628}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.9041967391967773},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.67011958360672},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.6603028774261475},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6364927887916565},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6191384792327881},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5670084953308105},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.5618577003479004},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.5609463453292847},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.514642596244812},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5059294104576111},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4969065487384796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49297356605529785},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.47110989689826965},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4450494647026062},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.443452388048172},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.440887451171875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4266442060470581},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3566882312297821},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3526706099510193},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32461729645729065},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2640700936317444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24256941676139832},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23890253901481628},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.1985.1168245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1985.1168245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-2396","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/1397","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:digitalcommons.uri.edu:ele_facpubs-2396","is_oa":true,"landing_page_url":"https://digitalcommons.uri.edu/ele_facpubs/1397","pdf_url":null,"source":{"id":"https://openalex.org/S2764761010","display_name":"Journal of Media Literacy Education","issn_l":"2167-8715","issn":["2167-8715"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310316378","host_organization_name":"National Association for Media Literacy Education","host_organization_lineage":["https://openalex.org/P4310316378"],"host_organization_lineage_names":["National Association for Media Literacy Education"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical, Computer, and Biomedical Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W130599074","https://openalex.org/W141081514","https://openalex.org/W148455047","https://openalex.org/W1982139997","https://openalex.org/W2092465442","https://openalex.org/W2094726387","https://openalex.org/W2127720361","https://openalex.org/W2162443378","https://openalex.org/W4298090816","https://openalex.org/W4300185665","https://openalex.org/W6605697617"],"related_works":["https://openalex.org/W1911817635","https://openalex.org/W2810224748","https://openalex.org/W2353656796","https://openalex.org/W2011915004","https://openalex.org/W2074565401","https://openalex.org/W1607924090","https://openalex.org/W1967187784","https://openalex.org/W2242778450","https://openalex.org/W2380803194","https://openalex.org/W2186922242"],"abstract_inverted_index":{"The":[0,59],"problem":[1],"of":[2,4,12,43],"detection":[3],"a":[5,33],"broadband":[6],"wide":[7],"sense":[8],"stationary":[9],"Gaussian":[10,19],"signal":[11,26],"unknown":[13],"power":[14],"spectral":[15],"density":[16],"in":[17,27,61],"white":[18],"noise":[20,28],"is":[21,38,48,63,70],"addressed.":[22],"By":[23],"modeling":[24],"the":[25,41,44,51,55,66],"as":[29],"an":[30],"autoregressive":[31,45,67],"process":[32],"generalized":[34],"likelihood":[35],"ratio":[36],"test":[37],"formulated":[39],"for":[40],"parameters":[42],"process.":[46],"It":[47],"shown":[49],"that":[50],"proposed":[52],"detector":[53],"outperforms":[54],"conventional":[56],"energy":[57],"detector.":[58],"gain":[60],"performance":[62],"greatest":[64],"when":[65],"model":[68],"order":[69],"small.":[71]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}