{"id":"https://openalex.org/W1533939825","doi":"https://doi.org/10.1109/icassp.2015.7178440","title":"Asymptotic properties of the robust ANMF","display_name":"Asymptotic properties of the robust ANMF","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1533939825","doi":"https://doi.org/10.1109/icassp.2015.7178440","mag":"1533939825"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01270119","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089919393","display_name":"Fr\u00e9d\u00e9ric Pascal","orcid":"https://orcid.org/0000-0003-0196-6395"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Frederic Pascal","raw_affiliation_strings":["SONDRA/SUPELEC, Plateau du Moulon, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"SONDRA/SUPELEC, Plateau du Moulon, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022689387","display_name":"Jean\u2010Philippe Ovarlez","orcid":"https://orcid.org/0000-0001-8056-4196"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Philippe Ovarlez","raw_affiliation_strings":["ONERA, DEMR/TSI, Chemin de la Huni\u00e8re, Palaiseau, France","SONDRA/SUPELEC, Plateau du Moulon, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"ONERA, DEMR/TSI, Chemin de la Huni\u00e8re, Palaiseau, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"SONDRA/SUPELEC, Plateau du Moulon, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102475099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089919393"],"corresponding_institution_ids":["https://openalex.org/I102475099"],"apc_list":null,"apc_paid":null,"fwci":1.737,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84412677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"2594","last_page":"2598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8308813571929932},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6494859457015991},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.596616268157959},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.5889537930488586},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5735918283462524},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5626792311668396},{"id":"https://openalex.org/keywords/asymptotic-analysis","display_name":"Asymptotic analysis","score":0.5122730135917664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5071120262145996},{"id":"https://openalex.org/keywords/delta-method","display_name":"Delta method","score":0.5058543086051941},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.469757080078125},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42404091358184814},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4177606403827667},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4159150719642639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3688138723373413},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35272568464279175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2632198929786682},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18803024291992188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10015740990638733},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09331658482551575}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8308813571929932},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6494859457015991},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.596616268157959},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.5889537930488586},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5735918283462524},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5626792311668396},{"id":"https://openalex.org/C119047807","wikidata":"https://www.wikidata.org/wiki/Q752718","display_name":"Asymptotic analysis","level":2,"score":0.5122730135917664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5071120262145996},{"id":"https://openalex.org/C971699","wikidata":"https://www.wikidata.org/wiki/Q1132714","display_name":"Delta method","level":3,"score":0.5058543086051941},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.469757080078125},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42404091358184814},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4177606403827667},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4159150719642639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3688138723373413},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35272568464279175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2632198929786682},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18803024291992188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10015740990638733},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09331658482551575},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2015.7178440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.702.1946","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.702.1946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jeanphilippeovarlez.com/Homepage_de_Ovarlez_Jean-Philippe/Publications_files/article.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01270119v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01270119","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.2594-2598, &#x27E8;10.1109/ICASSP.2015.7178440&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01270119v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01270119","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Apr 2015, Brisbane, Australia. pp.2594-2598, &#x27E8;10.1109/ICASSP.2015.7178440&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W10810736","https://openalex.org/W1586561379","https://openalex.org/W1956130478","https://openalex.org/W1972206072","https://openalex.org/W1973176871","https://openalex.org/W1979573625","https://openalex.org/W1986921156","https://openalex.org/W1992511687","https://openalex.org/W2008418230","https://openalex.org/W2046033161","https://openalex.org/W2063698478","https://openalex.org/W2085653682","https://openalex.org/W2095817904","https://openalex.org/W2096972831","https://openalex.org/W2103286460","https://openalex.org/W2106199973","https://openalex.org/W2106265255","https://openalex.org/W2108623005","https://openalex.org/W2120062331","https://openalex.org/W2144158572","https://openalex.org/W2161503240","https://openalex.org/W2595142274","https://openalex.org/W4300528079","https://openalex.org/W6600448088","https://openalex.org/W6635086125","https://openalex.org/W6640783133","https://openalex.org/W6734797129","https://openalex.org/W6775794996"],"related_works":["https://openalex.org/W3125855424","https://openalex.org/W1511751337","https://openalex.org/W2258642604","https://openalex.org/W2030304038","https://openalex.org/W3124009792","https://openalex.org/W2014380952","https://openalex.org/W2054644761","https://openalex.org/W1649659002","https://openalex.org/W4246314228","https://openalex.org/W2013662782"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"two":[3,87],"approaches":[4],"to":[5,54],"derive":[6,86,117],"an":[7],"asymptotic":[8,88,98,119],"distribution":[9,107,120],"of":[10,29,46,100,108,121],"the":[11,20,27,34,39,44,56,61,68,71,75,97,101,105,109,118,122,129,134,142],"robust":[12,65,92,102,123],"Adaptive":[13],"Normalized":[14],"Matched":[15],"Filter":[16],"(ANMF).":[17],"More":[18],"precisely,":[19],"ANMF":[21,62,110],"has":[22],"originally":[23],"been":[24],"derived":[25],"under":[26,41,74],"assumption":[28],"Gaussian":[30,57],"distributed":[31],"noise":[32],"where":[33],"variance":[35],"is":[36],"different":[37],"between":[38],"observation":[40],"test":[42],"and":[43,70,104],"set":[45],"secondary":[47],"data.":[48],"We":[49],"propose":[50],"in":[51],"this":[52,83,91],"work":[53],"relax":[55],"hypothesis:":[58],"we":[59,85,95,115],"analyze":[60],"built":[63],"with":[64],"estimators,":[66],"namely":[67],"M-estimators":[69],"Tyler's":[72],"estimator,":[73],"Complex":[76],"Elliptically":[77],"Symmetric":[78],"(CES)":[79],"distributions":[80,89],"framework.":[81],"In":[82],"context,":[84],"for":[90,138],"ANMF.":[93,124],"Firstly,":[94],"combine":[96],"properties":[99],"estimators":[103],"Gaussian-based":[106],"at":[111],"finite":[112],"distance.":[113],"Secondly,":[114],"directly":[116],"Then,":[125],"Monte-Carlo":[126],"simulations":[127,143],"show":[128],"good":[130],"approximation":[131],"provided":[132],"by":[133],"proposed":[135],"methods.":[136],"Moreover,":[137],"a":[139],"non-asymptotic":[140],"regime,":[141],"provide":[144],"very":[145],"promising":[146],"results.":[147]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
