{"id":"https://openalex.org/W2676131874","doi":"https://doi.org/10.1109/icassp.2017.7952939","title":"A Maximum Likelihood \u201cidentification-correction\u201d scheme of sub-optimal \u201cSeDJoCo\u201d solutions for semi-Blind Source Separation","display_name":"A Maximum Likelihood \u201cidentification-correction\u201d scheme of sub-optimal \u201cSeDJoCo\u201d solutions for semi-Blind Source Separation","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2676131874","doi":"https://doi.org/10.1109/icassp.2017.7952939","mag":"2676131874"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/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":true,"raw_author_name":"Amir Weiss","raw_affiliation_strings":["School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","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, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036604968","display_name":"Sher Ali Cheema","orcid":"https://orcid.org/0000-0002-5467-1761"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sher Ali Cheema","raw_affiliation_strings":["Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004533757","display_name":"Martin Haardt","orcid":"https://orcid.org/0000-0001-7810-975X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Haardt","raw_affiliation_strings":["Communications Research Laboratory, Ilmenau University of Technology, P.O. Box 100565, D-98684, Germany"],"affiliations":[{"raw_affiliation_string":"Communications Research Laboratory, Ilmenau University of Technology, P.O. Box 100565, D-98684, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081331925"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43407162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"81","issue":null,"first_page":"4158","last_page":"4162"},"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":0.9976999759674072,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.6500154733657837},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.6316065192222595},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.613215982913971},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.5715832710266113},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5448307394981384},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.540799081325531},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5376796126365662},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4037133455276489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39962124824523926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3338121473789215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19805875420570374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1200331449508667},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11216646432876587},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10747423768043518}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6500154733657837},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.6316065192222595},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.613215982913971},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.5715832710266113},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5448307394981384},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.540799081325531},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5376796126365662},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4037133455276489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39962124824523926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3338121473789215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19805875420570374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1200331449508667},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11216646432876587},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10747423768043518},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1755563775","https://openalex.org/W1971007512","https://openalex.org/W1980253826","https://openalex.org/W1989860410","https://openalex.org/W2042567328","https://openalex.org/W2110476671","https://openalex.org/W2123649031","https://openalex.org/W2140812167","https://openalex.org/W2154167944","https://openalex.org/W2162124575","https://openalex.org/W2407800495"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W973023320","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2539388437","https://openalex.org/W2107688514","https://openalex.org/W2137288760"],"abstract_inverted_index":{"The":[0],"\u201cSequentially":[1],"Drilled\u201d":[2],"Joint":[3],"Congruence":[4],"(SeDJoCo)":[5],"transformation":[6,12],"is":[7,27,64,99],"a":[8,30,35,45,47,114,124],"set":[9],"of":[10,49,59,77,84,95,101,123,129],"matrix":[11],"equations,":[13],"which":[14,63],"coincide":[15],"with":[16,34,43,142],"the":[17,54,60,82,85,92,96,119,137],"Likelihood":[18,56],"Equations":[19],"for":[20,118],"semi-blind":[21],"source":[22,26],"separation,":[23],"when":[24],"each":[25],"modeled":[28],"as":[29,68],"zero-mean":[31],"Gaussian":[32],"process":[33],"known":[36],"(and":[37],"distinct)":[38],"temporal":[39,132],"covariance":[40,133],"matrix.":[41],"Therefore,":[42],"such":[44],"model":[46],"solution":[48,87],"SeDJoCo":[50,78],"can":[51],"lead":[52],"to":[53,91],"Maximum":[55],"(ML)":[57],"estimate":[58],"separating":[61],"matrix,":[62],"asymptotically":[65],"optimal.":[66],"However,":[67],"we":[69,107],"have":[70],"shown":[71],"in":[72,140],"previous":[73],"work,":[74],"multiple":[75],"solutions":[76],"may":[79],"exist,":[80],"and":[81,121],"selection":[83],"optimal":[86],"among":[88],"these":[89],"(corresponding":[90],"global":[93],"maximum":[94],"likelihood":[97],"function)":[98],"therefore":[100],"considerable":[102],"interest.":[103],"In":[104],"this":[105],"paper":[106],"further":[108],"extend":[109],"our":[110],"results":[111],"by":[112],"proposing":[113],"new":[115],"ML":[116],"approach":[117],"identification":[120],"correction":[122],"sub-optimal":[125],"solution,":[126],"assuming":[127],"sources":[128],"unrestricted,":[130],"general":[131],"structures.":[134],"We":[135],"demonstrate":[136],"resulting":[138],"improvement":[139],"simulation":[141],"non-stationary":[143],"sources.":[144]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}