{"id":"https://openalex.org/W2024319375","doi":"https://doi.org/10.1109/icassp.2013.6638245","title":"Filter bank Kernel Learning for nonstationary signal classification","display_name":"Filter bank Kernel Learning for nonstationary signal classification","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2024319375","doi":"https://doi.org/10.1109/icassp.2013.6638245","mag":"2024319375"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cea.hal.science/cea-01830770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043113193","display_name":"Maxime Sangnier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Sangnier","raw_affiliation_strings":["Universite de Rouen, Mont-Saint-Aignan, FR","LITIS, Univ. de Rouen, St. E\u0301tienne-du-Rouvray, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Rouen, Mont-Saint-Aignan, FR","institution_ids":["https://openalex.org/I62396329"]},{"raw_affiliation_string":"LITIS, Univ. de Rouen, St. E\u0301tienne-du-Rouvray, France","institution_ids":["https://openalex.org/I4210108118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086916160","display_name":"J\u00e9r\u00f4me Gauthier","orcid":"https://orcid.org/0009-0007-9894-9044"},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Gauthier","raw_affiliation_strings":["LIST, CEA, Gif-sur-Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LIST, CEA, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031137438","display_name":"Alain Rakotomamonjy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alain Rakotomamonjy","raw_affiliation_strings":["LITIS EA 4108, Universit\u00e9 de Rouen, Saint-Etienne Rouvray, France","LITIS, Univ. de Rouen, St. E\u0301tienne-du-Rouvray, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LITIS EA 4108, Universit\u00e9 de Rouen, Saint-Etienne Rouvray, France","institution_ids":["https://openalex.org/I4210108118","https://openalex.org/I62396329"]},{"raw_affiliation_string":"LITIS, Univ. de Rouen, St. E\u0301tienne-du-Rouvray, France","institution_ids":["https://openalex.org/I4210108118"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4696,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55482934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"3183","last_page":"3187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9973999857902527,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9973999857902527,"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/T10320","display_name":"Neural Networks and Applications","score":0.995199978351593,"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/T10860","display_name":"Speech and Audio Processing","score":0.9940000176429749,"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/filter-bank","display_name":"Filter bank","score":0.6932659149169922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402734518051147},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6245985627174377},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6197429895401001},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5467790365219116},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5449898838996887},{"id":"https://openalex.org/keywords/kernel-adaptive-filter","display_name":"Kernel adaptive filter","score":0.5346744656562805},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.4832233190536499},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48216789960861206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4821298122406006},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46123006939888},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.45096850395202637},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.44378215074539185},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.43768852949142456},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4190574288368225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4174291789531708},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3598479628562927},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.3353910446166992},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21701955795288086},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09233435988426208}],"concepts":[{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.6932659149169922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402734518051147},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6245985627174377},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6197429895401001},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5467790365219116},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5449898838996887},{"id":"https://openalex.org/C13107197","wikidata":"https://www.wikidata.org/wiki/Q6394192","display_name":"Kernel adaptive filter","level":4,"score":0.5346744656562805},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.4832233190536499},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48216789960861206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4821298122406006},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46123006939888},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.45096850395202637},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.44378215074539185},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.43768852949142456},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4190574288368225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4174291789531708},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3598479628562927},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.3353910446166992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21701955795288086},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09233435988426208},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2013.6638245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:cea-01830770v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-01830770","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":"ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, BC, Canada. pp.3183-3187, &#x27E8;10.1109/ICASSP.2013.6638245&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:cea-01830770v1","is_oa":true,"landing_page_url":"https://cea.hal.science/cea-01830770","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":"ICASSP 2013 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, BC, Canada. pp.3183-3187, &#x27E8;10.1109/ICASSP.2013.6638245&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W205159212","https://openalex.org/W283029246","https://openalex.org/W1481646516","https://openalex.org/W1510073064","https://openalex.org/W1585011729","https://openalex.org/W1658679052","https://openalex.org/W1964155876","https://openalex.org/W1967386310","https://openalex.org/W1976669651","https://openalex.org/W1977813176","https://openalex.org/W1987510030","https://openalex.org/W2000125728","https://openalex.org/W2009301803","https://openalex.org/W2035071469","https://openalex.org/W2071244874","https://openalex.org/W2098062695","https://openalex.org/W2105231718","https://openalex.org/W2108376629","https://openalex.org/W2113291302","https://openalex.org/W2127069950","https://openalex.org/W2128638419","https://openalex.org/W2130697911","https://openalex.org/W2138973222","https://openalex.org/W2141303268","https://openalex.org/W2146047955","https://openalex.org/W2148603752","https://openalex.org/W2153939756","https://openalex.org/W2154271954","https://openalex.org/W2157283135","https://openalex.org/W2161706111","https://openalex.org/W2169223859","https://openalex.org/W2171849160","https://openalex.org/W2953139536","https://openalex.org/W4293775970","https://openalex.org/W6608394925","https://openalex.org/W6635145623","https://openalex.org/W6650442097","https://openalex.org/W6674735981","https://openalex.org/W6678757208","https://openalex.org/W6681521150","https://openalex.org/W6685032804"],"related_works":["https://openalex.org/W127070535","https://openalex.org/W1551719041","https://openalex.org/W2118799423","https://openalex.org/W997673828","https://openalex.org/W2140869420","https://openalex.org/W2144405339","https://openalex.org/W2118299246","https://openalex.org/W2096998134","https://openalex.org/W2352969661","https://openalex.org/W2147745206"],"abstract_inverted_index":{"This":[0,65],"paper":[1],"addresses":[2],"the":[3,21,29,56,67,94],"problem":[4],"of":[5,73,83],"automatic":[6],"feature":[7],"extraction":[8],"for":[9,37,69],"signal":[10],"classification.":[11],"In":[12],"order":[13,77],"to":[14,43,78,108],"handle":[15,79],"non-stationarity,":[16],"features":[17],"are":[18],"designed":[19],"in":[20,76],"time-frequency":[22],"domain":[23],"using":[24],"a":[25,46,50,60,70,85,103],"Filter":[26,47],"Bank":[27,48],"as":[28,59],"mapping":[30],"function,":[31],"which":[32],"enables":[33],"an":[34,80],"easy":[35],"interpretation":[36],"practitioners.":[38],"The":[39],"strategy":[40],"adopted":[41],"is":[42,90],"jointly":[44],"learn":[45],"with":[49,111],"Support":[51],"Vector":[52],"Machine":[53],"by":[54],"casting":[55],"optimization":[57],"program":[58,68],"Multiple":[61],"Kernel":[62],"Learning":[63],"problem.":[64],"solves":[66],"finite":[71],"set":[72],"filters.":[74],"Thus,":[75],"infinite":[81],"number":[82],"filters,":[84],"novel":[86],"active":[87],"constraint":[88],"algorithm":[89],"proposed":[91],"based":[92],"on":[93,102],"latest":[95],"breakthroughs.":[96],"Our":[97],"method":[98],"has":[99],"been":[100],"tested":[101],"toy":[104],"dataset":[105],"and":[106],"compared":[107],"classical":[109],"methods":[110],"competitive":[112],"results.":[113]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
