{"id":"https://openalex.org/W2117690194","doi":"https://doi.org/10.1109/icassp.2006.1661366","title":"Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies","display_name":"Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies","publication_year":2006,"publication_date":"2006-08-02","ids":{"openalex":"https://openalex.org/W2117690194","doi":"https://doi.org/10.1109/icassp.2006.1661366","mag":"2117690194"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1661366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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/A5087735490","display_name":"Taesu Kim","orcid":"https://orcid.org/0000-0002-4846-1805"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"Taesu Kim","raw_affiliation_strings":["Deptartment of Biosystems, Korea Advanced Institute of Science and Technology, Daejeon, Korea","Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Deptartment of Biosystems, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110453625","display_name":"Hagai Attias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Attias","raw_affiliation_strings":["Golden Metallic Inc, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Golden Metallic Inc, San Francisco, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735590","display_name":"Soo Young Lee","orcid":"https://orcid.org/0000-0003-3391-1241"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Young. Lee","raw_affiliation_strings":["Deptartment of Biosystems, Korea Advanced Institute of Science and Technology, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Deptartment of Biosystems, Korea Advanced Institute of Science and Technology, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056269350","display_name":"Te-Won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Te-Won Lee","raw_affiliation_strings":["Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Institute for Neural Computation, University of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087735490"],"corresponding_institution_ids":["https://openalex.org/I157485424","https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57439498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9898999929428101,"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":0.9524000287055969,"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":0.8351141810417175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7142011523246765},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.6754105091094971},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6072608828544617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5995529294013977},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.5398456454277039},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.49769070744514465},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4735604524612427},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45200082659721375},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.44613367319107056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21434593200683594}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8351141810417175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142011523246765},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.6754105091094971},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6072608828544617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5995529294013977},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.5398456454277039},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.49769070744514465},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4735604524612427},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45200082659721375},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.44613367319107056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21434593200683594},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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.2006.1661366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1661366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","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":11,"referenced_works":["https://openalex.org/W1678908354","https://openalex.org/W2027884847","https://openalex.org/W2062572859","https://openalex.org/W2096855653","https://openalex.org/W2108357193","https://openalex.org/W2114461480","https://openalex.org/W2128911505","https://openalex.org/W2133069808","https://openalex.org/W2540419083","https://openalex.org/W3146696246","https://openalex.org/W6679756777"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2166132814","https://openalex.org/W2031820693","https://openalex.org/W2038691609","https://openalex.org/W1910172735","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W2113403277","https://openalex.org/W2137288760","https://openalex.org/W2889447638"],"abstract_inverted_index":{"We":[0,57],"propose":[1],"a":[2,16,41,64,80,92,96],"novel":[3],"approach":[4],"to":[5,20,136],"the":[6,25,52,59,85,108,111],"blind":[7],"source":[8,42,81],"separation":[9],"(BSS)":[10],"that":[11,23,34,83,127],"exploits":[12],"frequency":[13,30,38,54,87],"dependencies":[14,35,129],"within":[15],"source.":[17],"In":[18,44,100],"contrast":[19],"conventional":[21],"algorithms":[22,120],"separate":[24],"sources":[26,140],"independently":[27],"in":[28,40,91],"each":[29],"bin,":[31],"we":[32,47,106],"assume":[33],"exist":[36],"between":[37,73],"bins":[39],"signal.":[43],"this":[45],"manner,":[46],"can":[48],"reduce":[49],"or":[50],"eliminate":[51],"well-known":[53,119],"permutation":[55],"problem.":[56],"derive":[58],"learning":[60],"algorithm":[61],"by":[62,78],"defining":[63],"cost":[65],"function":[66],"as":[67],"an":[68],"extension":[69],"of":[70,95,110,139],"mutual":[71],"information":[72],"multivariate":[74,97],"random":[75],"variables":[76],"and":[77,102,114,133,141],"introducing":[79],"prior":[82],"models":[84],"inherent":[86],"dependencies.":[88],"This":[89],"results":[90,125],"simple":[93],"form":[94],"score":[98],"function.":[99],"simulations":[101],"real":[103],"recording":[104],"experiments,":[105],"evaluate":[107],"performance":[109,132],"proposed":[112],"method":[113],"compare":[115],"it":[116],"against":[117],"other":[118],"under":[121],"various":[122],"conditions.":[123],"Our":[124],"indicate":[126],"modeling":[128],"yields":[130],"improved":[131],"robust":[134],"scaling":[135],"higher":[137],"number":[138],"mixtures.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
