{"id":"https://openalex.org/W3118105593","doi":"https://doi.org/10.23919/eusipco47968.2020.9287556","title":"Exact Algebraic Blind Source Separation Using Side Information","display_name":"Exact Algebraic Blind Source Separation Using Side Information","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3118105593","doi":"https://doi.org/10.23919/eusipco47968.2020.9287556","mag":"3118105593"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco47968.2020.9287556","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","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/A5081331925","display_name":"Amir Weiss","orcid":"https://orcid.org/0000-0002-3104-6939"},"institutions":[{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Amir Weiss","raw_affiliation_strings":["Weizmann Institute of Science"],"affiliations":[{"raw_affiliation_string":"Weizmann Institute of Science","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011311476","display_name":"Arie Yeredor","orcid":"https://orcid.org/0000-0003-4296-6850"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Arie Yeredor","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081331925"],"corresponding_institution_ids":["https://openalex.org/I53964585"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56616195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1941","last_page":"1945"},"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":0.987500011920929,"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":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.767286479473114},{"id":"https://openalex.org/keywords/algebraic-number","display_name":"Algebraic number","score":0.6056899428367615},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5389187335968018},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.5320360064506531},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.511662483215332},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4950660765171051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47333675622940063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47092002630233765},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.46381065249443054},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.43452128767967224},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4298039972782135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3569035530090332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12849438190460205},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.116138756275177},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09169027209281921}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.767286479473114},{"id":"https://openalex.org/C9376300","wikidata":"https://www.wikidata.org/wiki/Q168817","display_name":"Algebraic number","level":2,"score":0.6056899428367615},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5389187335968018},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.5320360064506531},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.511662483215332},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4950660765171051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47333675622940063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47092002630233765},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.46381065249443054},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.43452128767967224},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4298039972782135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3569035530090332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12849438190460205},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.116138756275177},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09169027209281921},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco47968.2020.9287556","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco47968.2020.9287556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 28th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W29021047","https://openalex.org/W1755563775","https://openalex.org/W2008229822","https://openalex.org/W2038237443","https://openalex.org/W2098126478","https://openalex.org/W2099741732","https://openalex.org/W2124757684","https://openalex.org/W2141224535","https://openalex.org/W2142638745","https://openalex.org/W2145424836","https://openalex.org/W2329556886","https://openalex.org/W2469230926","https://openalex.org/W2937378485","https://openalex.org/W2962753642","https://openalex.org/W3105087164","https://openalex.org/W6601165733"],"related_works":["https://openalex.org/W2383482627","https://openalex.org/W2392054573","https://openalex.org/W2162758065","https://openalex.org/W2897156099","https://openalex.org/W2997589526","https://openalex.org/W4289145503","https://openalex.org/W2099940608","https://openalex.org/W2889447638","https://openalex.org/W2387756483","https://openalex.org/W2071676784"],"abstract_inverted_index":{"Classical":[0],"Blind":[1],"Source":[2],"Separation":[3],"(BSS)":[4],"methods":[5],"rarely":[6],"attain":[7],"exact":[8,106],"separation,":[9],"even":[10],"under":[11],"noiseless":[12,54,120],"conditions.":[13],"In":[14,31,74,122],"addition,":[15,123],"they":[16],"often":[17],"rely":[18],"on":[19],"particular":[20],"structural":[21],"or":[22,70,138],"statistical":[23,112],"assumptions":[24,62],"(e.g.,":[25],"mutual":[26],"independence)":[27],"regarding":[28,67],"the":[29,40,68,71,78,97,119,130,134],"sources.":[30,98],"this":[32],"work":[33],"we":[34,76,124],"consider":[35,77],"a":[36,85,101,126],"(realistic)":[37],"\"twist\"":[38],"in":[39,118,133],"classical":[41],"linear":[42,80,89,94],"BSS":[43],"plot,":[44],"which,":[45],"quite":[46],"surprisingly,":[47],"not":[48],"only":[49],"enables":[50],"perfect":[51,116],"separation":[52,117],"(under":[53],"conditions),":[55],"but":[56],"is":[57],"also":[58],"free":[59,109],"of":[60,91,96,110,136],"any":[61,111],"(except":[63],"for":[64,104,129],"regularity":[65],"assumptions)":[66],"sources":[69],"mixing":[72],"matrix.":[73],"particular,":[75],"standard":[79],"mixture":[81,90],"model,":[82],"augmented":[83],"by":[84,146],"single":[86],"ancillary,":[87],"unknown":[88],"some":[92],"known":[93],"transformations":[95],"We":[99],"derive":[100],"closed-form":[102],"expression":[103],"an":[105],"algebraic":[107],"solution,":[108],"considerations":[113],"whatsoever,":[114],"attaining":[115],"case.":[121],"propose":[125],"well-behaved":[127],"solution":[128],"same":[131],"model":[132],"presence":[135],"noise":[137],"other":[139],"measurement":[140],"inaccuracies.":[141],"Our":[142],"derivations":[143],"are":[144],"corroborated":[145],"several":[147],"simulation":[148],"results.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
