{"id":"https://openalex.org/W2019119300","doi":"https://doi.org/10.1162/neco_a_00554","title":"A Parallel Dual Matrix Method for Blind Signal Separation","display_name":"A Parallel Dual Matrix Method for Blind Signal Separation","publication_year":2013,"publication_date":"2013-12-09","ids":{"openalex":"https://openalex.org/W2019119300","doi":"https://doi.org/10.1162/neco_a_00554","mag":"2019119300","pmid":"https://pubmed.ncbi.nlm.nih.gov/24320846"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_00554","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00554","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5091250419","display_name":"Tiaojun Zeng","orcid":"https://orcid.org/0000-0003-3633-7935"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"T. J. Zeng","raw_affiliation_strings":["School of Information Science and Technology of Southwest Jiaotong, Chengdu, 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology of Southwest Jiaotong, Chengdu, 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109130662","display_name":"Quan Yuan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Q. Y. Feng","raw_affiliation_strings":["School of Information Science and Technology of Southwest Jiaotong, Chengdu, 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology of Southwest Jiaotong, Chengdu, 610031, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091250419"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08835889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"3","first_page":"592","last_page":"610"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9689000248908997,"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":0.7246218323707581},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6939328908920288},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.622600257396698},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.582538366317749},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5440716743469238},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49265986680984497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4840394854545593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4526509940624237},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43822985887527466},{"id":"https://openalex.org/keywords/matrix-function","display_name":"Matrix function","score":0.4345269203186035},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3516967296600342},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.2431347370147705},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.11282011866569519}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7246218323707581},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6939328908920288},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.622600257396698},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.582538366317749},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5440716743469238},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49265986680984497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4840394854545593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4526509940624237},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43822985887527466},{"id":"https://openalex.org/C4263655","wikidata":"https://www.wikidata.org/wiki/Q2699958","display_name":"Matrix function","level":4,"score":0.4345269203186035},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3516967296600342},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.2431347370147705},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.11282011866569519},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_00554","is_oa":false,"landing_page_url":"https://doi.org/10.1162/neco_a_00554","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:24320846","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24320846","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336736","display_name":"Chengdu Science and Technology Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W191494004","https://openalex.org/W1547871937","https://openalex.org/W1989577851","https://openalex.org/W2043806396","https://openalex.org/W2086322880","https://openalex.org/W2095950579","https://openalex.org/W2108176400","https://openalex.org/W2112297528","https://openalex.org/W2124195644","https://openalex.org/W2125550523","https://openalex.org/W2130440543","https://openalex.org/W2134178685","https://openalex.org/W2142638745","https://openalex.org/W2144935618","https://openalex.org/W2146681181","https://openalex.org/W2152049961","https://openalex.org/W2154488158","https://openalex.org/W2158218920"],"related_works":["https://openalex.org/W2360378459","https://openalex.org/W2086770927","https://openalex.org/W2218037877","https://openalex.org/W1971508078","https://openalex.org/W2129593335","https://openalex.org/W2359369747","https://openalex.org/W2348581756","https://openalex.org/W3021801350","https://openalex.org/W2051818031","https://openalex.org/W2142150173"],"abstract_inverted_index":{"A":[0],"parallel":[1,68],"dual":[2],"matrix":[3,15,19,78],"method":[4],"that":[5,90],"considers":[6],"all":[7],"cases":[8],"of":[9,46,60],"numerical":[10,41],"relations":[11],"between":[12],"a":[13,17,44,75],"mixing":[14],"and":[16,56],"separating":[18,77],"is":[20,54,63,70],"proposed":[21],"in":[22],"this":[23],"letter.":[24],"Different":[25],"constrained":[26,38],"terms":[27,39],"are":[28,49],"used":[29],"to":[30,72,74,85],"construct":[31],"cost":[32,82],"function":[33,83],"for":[34],"every":[35],"subalgorithm.":[36],"These":[37],"reflect":[40],"relation.":[42],"Therefore,":[43],"number":[45],"undesired":[47],"solutions":[48],"excluded,":[50],"the":[51,57,61,91],"search":[52],"region":[53],"reduced,":[55],"convergence":[58],"efficiency":[59],"algorithm":[62,92],"ultimately":[64],"improved.":[65],"Moreover,":[66],"any":[67],"subalgorithm":[69],"proven":[71],"converge":[73],"desired":[76],"only":[79],"if":[80],"its":[81],"converges":[84],"zero.":[86],"Computer":[87],"simulations":[88],"indicate":[89],"efficiently":[93],"performs":[94],"blind":[95],"signal":[96],"separation.":[97]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
