{"id":"https://openalex.org/W1727549186","doi":"https://doi.org/10.1109/icassp.2005.1416181","title":"Blind Identification of Under-Determined Mixtures based on the Characteristic Function","display_name":"Blind Identification of Under-Determined Mixtures based on the Characteristic Function","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W1727549186","doi":"https://doi.org/10.1109/icassp.2005.1416181","mag":"1727549186"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1416181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},"type":"article","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/A5033972557","display_name":"Pierre Comon","orcid":"https://orcid.org/0000-0001-9436-9228"},"institutions":[{"id":"https://openalex.org/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]},{"id":"https://openalex.org/I4210150884","display_name":"Fondation Sophia Antipolis","ror":"https://ror.org/05nkcfv27","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210150884"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Comon","raw_affiliation_strings":["Sophia-Antipolis, France","Algorithmes-Euclide-B, I3S, Sophia-Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210150884"]},{"raw_affiliation_string":"Algorithmes-Euclide-B, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210106479"]}]},{"author_position":"last","author":{"id":null,"display_name":"Myriam Rajih","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150884","display_name":"Fondation Sophia Antipolis","ror":"https://ror.org/05nkcfv27","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210150884"]},{"id":"https://openalex.org/I4210106479","display_name":"Laboratoire d'Informatique, Signaux et Syst\u00e8mes de Sophia Antipolis","ror":"https://ror.org/01215r597","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I201841394","https://openalex.org/I4210106479","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Myriam Rajih","raw_affiliation_strings":["Sophia-Antipolis, France","Algorithmes-Euclide-B, I3S, Sophia-Antipolis, France"],"affiliations":[{"raw_affiliation_string":"Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210150884"]},{"raw_affiliation_string":"Algorithmes-Euclide-B, I3S, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I4210106479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033972557"],"corresponding_institution_ids":["https://openalex.org/I4210106479","https://openalex.org/I4210150884"],"apc_list":null,"apc_paid":null,"fwci":0.954,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72512698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1005","last_page":"1008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/dimension","display_name":"Dimension (graph theory)","score":0.7049415111541748},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6527374982833862},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5910576581954956},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5618231892585754},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5157280564308167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49478763341903687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45279136300086975},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.42434442043304443},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3428897261619568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32699280977249146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31583142280578613},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11797600984573364}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7049415111541748},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6527374982833862},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5910576581954956},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5618231892585754},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5157280564308167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49478763341903687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45279136300086975},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.42434442043304443},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3428897261619568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32699280977249146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31583142280578613},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11797600984573364},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1416181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1416181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W49160414","https://openalex.org/W77429030","https://openalex.org/W1534481811","https://openalex.org/W1548802052","https://openalex.org/W1582327280","https://openalex.org/W1678280646","https://openalex.org/W1828839365","https://openalex.org/W2010560128","https://openalex.org/W2027559251","https://openalex.org/W2033154334","https://openalex.org/W2043196846","https://openalex.org/W2057503509","https://openalex.org/W2062441527","https://openalex.org/W2092647425","https://openalex.org/W2095887647","https://openalex.org/W2099741732","https://openalex.org/W2101641981","https://openalex.org/W2102382015","https://openalex.org/W2104316038","https://openalex.org/W2108178038","https://openalex.org/W2108871762","https://openalex.org/W2121739212","https://openalex.org/W2124431883","https://openalex.org/W2150059498","https://openalex.org/W2158218920","https://openalex.org/W2166159048","https://openalex.org/W2167217202","https://openalex.org/W2225937484","https://openalex.org/W2751862591","https://openalex.org/W2796901885","https://openalex.org/W3016217447","https://openalex.org/W4205778870","https://openalex.org/W6603085881","https://openalex.org/W6676153409","https://openalex.org/W6684642934"],"related_works":["https://openalex.org/W2121739212","https://openalex.org/W2000215628","https://openalex.org/W2105134297","https://openalex.org/W2130183925","https://openalex.org/W2364262741","https://openalex.org/W2157578282","https://openalex.org/W1563233961","https://openalex.org/W1554850560","https://openalex.org/W2046169626","https://openalex.org/W2084915850","https://openalex.org/W2114514937","https://openalex.org/W2030633827","https://openalex.org/W2117530342","https://openalex.org/W2959933119","https://openalex.org/W2095886938","https://openalex.org/W2130656060","https://openalex.org/W2375410921","https://openalex.org/W2056457765","https://openalex.org/W2156639610","https://openalex.org/W2156338897"],"abstract_inverted_index":{"Linear":[0],"mixtures":[1,15],"of":[2,20,25,44,62,73,75],"independent":[3],"random":[4],"variables":[5],"(the":[6],"so-called":[7],"sources)":[8],"are":[9,32],"sometimes":[10],"referred":[11],"to":[12,34],"as":[13],"under-determined":[14],"(UDM)":[16],"when":[17],"the":[18,23,26,40,45,51,64],"number":[19,61],"sources":[21],"exceeds":[22],"dimension":[24],"observation":[27],"space.":[28],"The":[29,70],"algorithms":[30],"proposed":[31],"able":[33],"identify":[35],"algebraically":[36],"a":[37,59],"UDM":[38],"using":[39],"second":[41,65],"characteristic":[42],"function":[43],"observations.":[46],"With":[47,58],"only":[48,54],"two":[49],"sensors,":[50,63],"first":[52],"algorithm":[53,66],"needs":[55],"an":[56,68,81],"SVD.":[57],"larger":[60],"executes":[67],"ALS.":[69],"joint":[71],"use":[72],"statistics":[74],"different":[76],"orders":[77],"is":[78],"possible,":[79],"and":[80],"LS":[82],"solution":[83],"can":[84],"be":[85],"computed.":[86]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
