{"id":"https://openalex.org/W2204988144","doi":"https://doi.org/10.1109/eusipco.2015.7362712","title":"A novel deterministic method for large-scale blind source separation","display_name":"A novel deterministic method for large-scale blind source separation","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2204988144","doi":"https://doi.org/10.1109/eusipco.2015.7362712","mag":"2204988144"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/501561","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014237811","display_name":"Martijn Bouss\u00e9","orcid":"https://orcid.org/0000-0003-2090-0682"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Martijn Bousse","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033633807","display_name":"Otto Debals","orcid":"https://orcid.org/0000-0002-1335-6079"},"institutions":[{"id":"https://openalex.org/I150145467","display_name":"University College West Flanders","ror":"https://ror.org/00fy5v859","country_code":"BE","type":"education","lineage":["https://openalex.org/I150145467"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Otto Debals","raw_affiliation_strings":["Group Science, Engineering and Technology, Kortrijk, Belgium"],"affiliations":[{"raw_affiliation_string":"Group Science, Engineering and Technology, Kortrijk, Belgium","institution_ids":["https://openalex.org/I150145467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009006026","display_name":"Lieven De Lathauwer","orcid":"https://orcid.org/0000-0001-5562-5014"},"institutions":[{"id":"https://openalex.org/I150145467","display_name":"University College West Flanders","ror":"https://ror.org/00fy5v859","country_code":"BE","type":"education","lineage":["https://openalex.org/I150145467"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Lieven De Lathauwer","raw_affiliation_strings":["Group Science, Engineering and Technology, Kortrijk, Belgium"],"affiliations":[{"raw_affiliation_string":"Group Science, Engineering and Technology, Kortrijk, Belgium","institution_ids":["https://openalex.org/I150145467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014237811"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.436,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82765858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1890","last_page":"1894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9944000244140625,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9943000078201294,"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/blind-signal-separation","display_name":"Blind signal separation","score":0.8831338882446289},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6242832541465759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5996776819229126},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5990632772445679},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.571901798248291},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5662450790405273},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5644710659980774},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46567174792289734},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45377877354621887},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43939754366874695},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32335570454597473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30279722809791565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26994991302490234},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09418144822120667}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8831338882446289},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6242832541465759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996776819229126},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5990632772445679},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.571901798248291},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5662450790405273},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5644710659980774},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46567174792289734},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45377877354621887},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43939754366874695},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32335570454597473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30279722809791565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26994991302490234},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09418144822120667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/501561","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/501561","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"23rd European Signal Processing Conference (EUSIPCO), Nice, France, 31 August - 4 September 2015","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/501561","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/501561","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"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":"23rd European Signal Processing Conference (EUSIPCO), Nice, France, 31 August - 4 September 2015","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W165197643","https://openalex.org/W271314235","https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1538092215","https://openalex.org/W1542955669","https://openalex.org/W1596939795","https://openalex.org/W1755563775","https://openalex.org/W1765998458","https://openalex.org/W1967077133","https://openalex.org/W1989811026","https://openalex.org/W1990283232","https://openalex.org/W2000045479","https://openalex.org/W2017948584","https://openalex.org/W2024165284","https://openalex.org/W2027201767","https://openalex.org/W2053693274","https://openalex.org/W2057503509","https://openalex.org/W2070013413","https://openalex.org/W2074554177","https://openalex.org/W2085585550","https://openalex.org/W2100602452","https://openalex.org/W2119412403","https://openalex.org/W2119667497","https://openalex.org/W2123649031","https://openalex.org/W2160704933","https://openalex.org/W2160941078","https://openalex.org/W2162654459","https://openalex.org/W2169755932","https://openalex.org/W2211756931","https://openalex.org/W3098973674","https://openalex.org/W3102183770","https://openalex.org/W6675344052"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2046761971","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2553224454","https://openalex.org/W1503525627"],"abstract_inverted_index":{"A":[0],"novel":[1],"deterministic":[2],"method":[3,32],"for":[4,50],"blind":[5,58,87],"source":[6,59,88],"separation":[7,60,89],"is":[8,45],"presented.":[9],"In":[10],"contrast":[11],"to":[12,77],"common":[13],"methods":[14,97],"such":[15],"as":[16,65],"independent":[17],"component":[18],"analysis,":[19],"only":[20],"mild":[21],"assumptions":[22],"are":[23],"imposed":[24],"on":[25],"the":[26,29,31,41,57,66,78,84],"sources.":[27],"On":[28],"contrary,":[30],"exploits":[33],"a":[34,46,69,74],"hypothesized":[35],"(approximate)":[36],"intrinsic":[37],"low-rank":[38,75],"structure":[39],"of":[40,68,86],"mixing":[42,80],"vectors.":[43,81],"This":[44,82],"very":[47],"natural":[48],"assumption":[49],"problems":[51],"with":[52],"many":[53],"sensors.":[54],"As":[55],"such,":[56],"problem":[61],"can":[62],"be":[63],"reformulated":[64],"computation":[67],"tensor":[70],"decomposition":[71],"by":[72],"applying":[73],"approximation":[76],"tensorized":[79],"allows":[83],"introduction":[85],"in":[90],"certain":[91],"big":[92],"data":[93],"applications,":[94],"where":[95],"other":[96],"fall":[98],"short.":[99]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
