{"id":"https://openalex.org/W1543965200","doi":"https://doi.org/10.1109/iscas.2006.1693403","title":"An analysis of the CCA approach for blind source separation and its adaptive realization","display_name":"An analysis of the CCA approach for blind source separation and its adaptive realization","publication_year":2006,"publication_date":"2006-09-22","ids":{"openalex":"https://openalex.org/W1543965200","doi":"https://doi.org/10.1109/iscas.2006.1693403","mag":"1543965200"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2006.1693403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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/A5062908102","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2968-2888"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Department of Electronic & Electrical Engineering, University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electronic & Electrical Engineering, University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"D.P. Mandic","raw_affiliation_strings":["Communications and Signal Processing Research Group, Department of Electrical & Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Research Group, Department of Electrical & Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"A. Cichocki","raw_affiliation_strings":["Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan","institution_ids":["https://openalex.org/I2800939219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062908102"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.05231632,"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":"4","last_page":"4"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9782000184059143,"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/T10860","display_name":"Speech and Audio Processing","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.9094076752662659},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.8200189471244812},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6295255422592163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961567163467407},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5958775281906128},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5656406283378601},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5077520608901978},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4944498538970947},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.4912506937980652},{"id":"https://openalex.org/keywords/matrix-pencil","display_name":"Matrix pencil","score":0.4826398491859436},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.48224005103111267},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.46734243631362915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44757938385009766},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4413033425807953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3018033504486084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2830734848976135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11131066083908081}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.9094076752662659},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.8200189471244812},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6295255422592163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961567163467407},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5958775281906128},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5656406283378601},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5077520608901978},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4944498538970947},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.4912506937980652},{"id":"https://openalex.org/C1576492","wikidata":"https://www.wikidata.org/wiki/Q3739929","display_name":"Matrix pencil","level":3,"score":0.4826398491859436},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.48224005103111267},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.46734243631362915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44757938385009766},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4413033425807953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3018033504486084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2830734848976135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11131066083908081},{"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/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/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/iscas.2006.1693403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693403","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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":18,"referenced_works":["https://openalex.org/W100841589","https://openalex.org/W167158158","https://openalex.org/W1492221128","https://openalex.org/W1548802052","https://openalex.org/W1601553748","https://openalex.org/W1999542175","https://openalex.org/W2013294521","https://openalex.org/W2122393449","https://openalex.org/W2122889025","https://openalex.org/W2142638745","https://openalex.org/W2142702284","https://openalex.org/W2152091102","https://openalex.org/W4205778870","https://openalex.org/W4230727635","https://openalex.org/W4247988071","https://openalex.org/W6604124798","https://openalex.org/W6606720125","https://openalex.org/W6636069787"],"related_works":["https://openalex.org/W2133552410","https://openalex.org/W2371223732","https://openalex.org/W1509813908","https://openalex.org/W1870256810","https://openalex.org/W2031820693","https://openalex.org/W2051710799","https://openalex.org/W3024816962","https://openalex.org/W1971296617","https://openalex.org/W2889447638","https://openalex.org/W2152355934"],"abstract_inverted_index":{"An":[0],"analysis":[1,6],"of":[2,26,70],"the":[3,23,27,33,40,44,52,71,77],"canonical":[4],"correlation":[5],"(CCA)":[7],"approach":[8,42,79],"in":[9,51],"blind":[10,59],"source":[11,34,60],"separation":[12],"is":[13,18,64],"provided.":[14],"In":[15],"particular,":[16],"it":[17],"proved":[19],"that":[20,39],"by":[21],"maximizing":[22],"autocorrelation":[24],"functions":[25],"recovered":[28],"signals":[29,35],"we":[30],"can":[31],"separate":[32],"successfully.":[36],"We":[37],"show":[38],"CCA":[41,72],"represents":[43],"same":[45],"generalised":[46],"eigenvalue":[47],"decomposition":[48],"problem":[49],"introduced":[50],"matrix":[53],"pencil":[54],"method.":[55],"Finally,":[56],"an":[57,67],"adaptive":[58],"extraction":[61],"(BSE)":[62],"algorithm":[63],"derived":[65],"as":[66],"online":[68],"realisation":[69],"approach.":[73],"Simulation":[74],"results":[75],"verify":[76],"proposed":[78]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
