{"id":"https://openalex.org/W2017547032","doi":"https://doi.org/10.1155/s1110865704401097","title":"A New Method for Estimating the Number of Harmonic Components in Noise with Application in High Resolution Radar","display_name":"A New Method for Estimating the Number of Harmonic Components in Noise with Application in High Resolution Radar","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2017547032","doi":"https://doi.org/10.1155/s1110865704401097","mag":"2017547032"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865704401097","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704401097","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704401097","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704401097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006085909","display_name":"Emanuel R\u0103doi","orcid":"https://orcid.org/0000-0002-0819-6285"},"institutions":[{"id":"https://openalex.org/I180375564","display_name":"\u00c9cole nationale d'ing\u00e9nieurs de Brest","ror":"https://ror.org/02ypw0a72","country_code":"FR","type":"education","lineage":["https://openalex.org/I180375564"]},{"id":"https://openalex.org/I4210148559","display_name":"\u00c9cole nationale sup\u00e9rieure de techniques avanc\u00e9es Bretagne","ror":"https://ror.org/059n54003","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102","https://openalex.org/I4210148559"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Emanuel Radoi","raw_affiliation_strings":["Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), 2 rue Fran\u00e7ois Verny, Brest, 29806, France","Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), 2 rue Fran\u00e7ois Verny, Brest, 29806, France","institution_ids":["https://openalex.org/I4210148559"]},{"raw_affiliation_string":"Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), Brest, France","institution_ids":["https://openalex.org/I180375564","https://openalex.org/I4210148559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106469752","display_name":"Andr\u00e9 Quinquis","orcid":null},"institutions":[{"id":"https://openalex.org/I180375564","display_name":"\u00c9cole nationale d'ing\u00e9nieurs de Brest","ror":"https://ror.org/02ypw0a72","country_code":"FR","type":"education","lineage":["https://openalex.org/I180375564"]},{"id":"https://openalex.org/I4210148559","display_name":"\u00c9cole nationale sup\u00e9rieure de techniques avanc\u00e9es Bretagne","ror":"https://ror.org/059n54003","country_code":"FR","type":"education","lineage":["https://openalex.org/I201181511","https://openalex.org/I4210145102","https://openalex.org/I4210148559"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Quinquis","raw_affiliation_strings":["Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), 2 rue Fran\u00e7ois Verny, Brest, 29806, France","Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), Brest, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), 2 rue Fran\u00e7ois Verny, Brest, 29806, France","institution_ids":["https://openalex.org/I4210148559"]},{"raw_affiliation_string":"Laboratoire E3I2, Ecole Nationale Sup\u00e9rieure des Ing\u00e9nieurs des Etudes et Techniques d'Armement (ENSIETA), Brest, France","institution_ids":["https://openalex.org/I180375564","https://openalex.org/I4210148559"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006085909"],"corresponding_institution_ids":["https://openalex.org/I180375564","https://openalex.org/I4210148559"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":2.0414,"has_fulltext":true,"cited_by_count":66,"citation_normalized_percentile":{"value":0.86621718,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2004","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9995999932289124,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.7299497127532959},{"id":"https://openalex.org/keywords/akaike-information-criterion","display_name":"Akaike information criterion","score":0.6852167844772339},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6221338510513306},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6213932633399963},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5803889632225037},{"id":"https://openalex.org/keywords/harmonic","display_name":"Harmonic","score":0.5618999600410461},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5039555430412292},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4737313985824585},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.472321480512619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4691034257411957},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4554675221443176},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4469956159591675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4441489279270172},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.3888176679611206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33723294734954834},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.29143911600112915},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21212536096572876},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1752331256866455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08683529496192932},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08492079377174377}],"concepts":[{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.7299497127532959},{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.6852167844772339},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6221338510513306},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6213932633399963},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5803889632225037},{"id":"https://openalex.org/C127934551","wikidata":"https://www.wikidata.org/wiki/Q1148098","display_name":"Harmonic","level":2,"score":0.5618999600410461},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5039555430412292},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4737313985824585},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.472321480512619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4691034257411957},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4554675221443176},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4469956159591675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4441489279270172},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.3888176679611206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33723294734954834},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.29143911600112915},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21212536096572876},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1752331256866455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08683529496192932},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08492079377174377},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/s1110865704401097","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704401097","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704401097","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-00518774v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00518774","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Eurasip Journal on Applied Signal Processing, 2004, pp.Non renseigne","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:39c13ce577584b7f90ae7de9e9c66d9f","is_oa":true,"landing_page_url":"https://doaj.org/article/39c13ce577584b7f90ae7de9e9c66d9f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 8, p 615890 (2004)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/s1110865704401097","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865704401097","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865704401097","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2017547032.pdf","grobid_xml":"https://content.openalex.org/works/W2017547032.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1521023302","https://openalex.org/W1545097979","https://openalex.org/W1928873049","https://openalex.org/W1968424252","https://openalex.org/W1969258769","https://openalex.org/W2001088254","https://openalex.org/W2054119616","https://openalex.org/W2054658115","https://openalex.org/W2063541597","https://openalex.org/W2096710051","https://openalex.org/W2128131274","https://openalex.org/W2142635246","https://openalex.org/W2166426208","https://openalex.org/W2166764037","https://openalex.org/W2536288523","https://openalex.org/W2568392743","https://openalex.org/W4244779849","https://openalex.org/W4379510236","https://openalex.org/W6664471178","https://openalex.org/W6681236446"],"related_works":["https://openalex.org/W2349980442","https://openalex.org/W2790395016","https://openalex.org/W2607263052","https://openalex.org/W2568148104","https://openalex.org/W2071543241","https://openalex.org/W2147481109","https://openalex.org/W1973144160","https://openalex.org/W2889643344","https://openalex.org/W3105950417","https://openalex.org/W4295767085"],"abstract_inverted_index":{"In":[0,101],"order":[1],"to":[2,84,96,120,128,158],"operate":[3,121],"properly,":[4],"the":[5,33,40,58,64,68,88,97,110,113,132,144,165,186],"superresolution":[6],"methods":[7,161],"based":[8],"on":[9],"orthogonal":[10],"subspace":[11,35,115],"decomposition,":[12],"such":[13,76],"as":[14,77],"multiple":[15],"signal":[16,22,34,114],"classification":[17],"(MUSIC)":[18],"or":[19],"estimation":[20,31,53,111],"of":[21,32,39,42,67,87,90,112,137,143,171,180,185],"parameters":[23],"by":[24,50,131],"rotational":[25],"invariance":[26],"techniques":[27],"(ESPRIT),":[28],"need":[29],"accurate":[30],"dimension,":[36],"that":[37,45,156],"is,":[38],"number":[41,89],"harmonic":[43,91,187],"components":[44,92],"are":[46,70,94,147],"superimposed":[47],"and":[48,63,139,152,190],"corrupted":[49],"noise.":[51],"This":[52],"is":[54,61,81,118,154],"particularly":[55],"difficult":[56],"when":[57],"S/N":[59,173],"ratio":[60,174],"low":[62],"statistical":[65],"properties":[66],"noise":[69,124],"unknown.":[71],"Moreover,":[72],"in":[73,175],"some":[74],"applications":[75],"radar":[78],"imagery,":[79],"it":[80,153,162],"very":[82],"important":[83],"avoid":[85],"underestimation":[86],"which":[93,117],"associated":[95],"target":[98],"scattering":[99],"centers.":[100],"this":[102],"paper,":[103],"we":[104],"propose":[105],"an":[106],"effective":[107],"method":[108,146],"for":[109],"dimension":[116],"able":[119],"against":[122],"colored":[123,181],"with":[125],"performances":[126],"superior":[127],"those":[129],"exhibited":[130],"classical":[133],"information":[134],"theoretic":[135],"criteria":[136],"Akaike":[138],"Rissanen.":[140],"The":[141],"capabilities":[142],"new":[145],"demonstrated":[148],"through":[149],"computer":[150],"simulations":[151],"proved":[155],"compared":[157],"three":[159],"other":[160],"carries":[163],"out":[164],"best":[166],"trade-off":[167],"from":[168],"four":[169],"points":[170],"view,":[172],"white":[176],"noise,":[177,182],"frequency":[178],"band":[179],"dynamic":[183],"range":[184],"component":[188],"amplitudes,":[189],"computing":[191],"time.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}