{"id":"https://openalex.org/W2125225938","doi":"https://doi.org/10.1109/icassp.2008.4517761","title":"Fast tensor signal filtering using fixed point algorithm","display_name":"Fast tensor signal filtering using fixed point algorithm","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2125225938","doi":"https://doi.org/10.1109/icassp.2008.4517761","mag":"2125225938"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2008.4517761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107093585","display_name":"Julien Marot","orcid":"https://orcid.org/0000-0002-8793-816X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Marot","raw_affiliation_strings":["Institut Fresnel UMR-CNRS, D. U. de Saint-J\u00e9r\u00f4me, Marseilles, France","Inst. Fresnel, Marseille"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Fresnel UMR-CNRS, D. U. de Saint-J\u00e9r\u00f4me, Marseilles, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210125985"]},{"raw_affiliation_string":"Inst. Fresnel, Marseille","institution_ids":["https://openalex.org/I4210125985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052863335","display_name":"Salah Bourennane","orcid":"https://orcid.org/0000-0002-4683-6685"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Bourennane","raw_affiliation_strings":["Institut Fresnel UMR-CNRS, D. U. de Saint-J\u00e9r\u00f4me, Marseilles, France","Inst. Fresnel, Marseille"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Fresnel UMR-CNRS, D. U. de Saint-J\u00e9r\u00f4me, Marseilles, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210125985"]},{"raw_affiliation_string":"Inst. Fresnel, Marseille","institution_ids":["https://openalex.org/I4210125985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":null,"first_page":"921","last_page":"924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9815000295639038,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6359003186225891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5983850955963135},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5591939091682434},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5553954243659973},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4966467022895813},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.46726173162460327},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.4613480865955353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4611731767654419},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4579741656780243},{"id":"https://openalex.org/keywords/power-iteration","display_name":"Power iteration","score":0.4480217695236206},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44469523429870605},{"id":"https://openalex.org/keywords/fixed-point","display_name":"Fixed point","score":0.4301735460758209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42229384183883667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2488194704055786},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.23215728998184204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14347776770591736},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09014427661895752}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6359003186225891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5983850955963135},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5591939091682434},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5553954243659973},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4966467022895813},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.46726173162460327},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.4613480865955353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4611731767654419},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4579741656780243},{"id":"https://openalex.org/C162443888","wikidata":"https://www.wikidata.org/wiki/Q1426504","display_name":"Power iteration","level":3,"score":0.4480217695236206},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44469523429870605},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.4301735460758209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42229384183883667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2488194704055786},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.23215728998184204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14347776770591736},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09014427661895752},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2008.4517761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4517761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2018282388","https://openalex.org/W2019502123","https://openalex.org/W2078630980","https://openalex.org/W2086022711","https://openalex.org/W2097525122","https://openalex.org/W2100653116","https://openalex.org/W2100779717","https://openalex.org/W2122860281","https://openalex.org/W2133884101","https://openalex.org/W2136023375","https://openalex.org/W2150059498","https://openalex.org/W2798909945","https://openalex.org/W4297756334","https://openalex.org/W6665462973"],"related_works":["https://openalex.org/W2991822090","https://openalex.org/W330396657","https://openalex.org/W2106520840","https://openalex.org/W2087083988","https://openalex.org/W175890250","https://openalex.org/W2358877402","https://openalex.org/W2366706760","https://openalex.org/W2117588047","https://openalex.org/W1975569870","https://openalex.org/W3002697058"],"abstract_inverted_index":{"Subspace-based":[0],"methods":[1],"rely":[2],"on":[3,33],"the":[4,85,89,105],"selection":[5],"of":[6,74,87,116],"leading":[7,34,91],"eigenvectors,":[8],"associated":[9],"with":[10],"dominant":[11],"eigenvalues.":[12],"They":[13],"have":[14],"been":[15],"extended":[16],"to":[17,69,84,103,121],"tensor":[18,95],"data":[19,31],"processing,":[20],"such":[21],"as":[22],"denoising.":[23,124],"Usually":[24],"EVD":[25,68],"(eigenvalue":[26],"decomposition)":[27],"is":[28,63],"performed":[29],"and":[30],"projection":[32],"eigenvectors":[35,92],"results":[36],"in":[37,43,93,114],"noise":[38,107],"reduction.":[39],"Tensor":[40],"processing":[41,96],"methods,":[42],"particular":[44],"multiway":[45],"Wiener":[46],"filtering":[47],"algorithm,":[48],"include":[49],"an":[50,119],"ALS":[51],"(alternating":[52],"least":[53],"squares)":[54],"loop,":[55],"which":[56],"involves":[57],"several":[58],"EVDs.":[59],"Fixed":[60],"point":[61,82],"algorithm":[62,83],"a":[64,71,94,111],"faster":[65],"method":[66,102],"than":[67],"estimate":[70,104],"fixed":[72,81],"number":[73],"eigenvectors.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"adapt":[80,99],"estimation":[86],"only":[88],"required":[90,106],"framework.":[97],"We":[98,109],"inverse":[100],"power":[101],"variance.":[108],"provide":[110],"comparative":[112],"study":[113],"terms":[115],"speed":[117],"through":[118],"application":[120],"hyperspectral":[122],"image":[123]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
