{"id":"https://openalex.org/W1556265861","doi":"https://doi.org/10.1109/nnsp.2002.1030055","title":"Removal of residual crosstalk components in blind source separation using LMS filters","display_name":"Removal of residual crosstalk components in blind source separation using LMS filters","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1556265861","doi":"https://doi.org/10.1109/nnsp.2002.1030055","mag":"1556265861"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2002.1030055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","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/A5043759410","display_name":"Ryo Mukai","orcid":"https://orcid.org/0000-0003-1796-9232"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"R. Mukai","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Araki","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007032557","display_name":"Hiroshi Sawada","orcid":"https://orcid.org/0000-0002-4831-9286"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Sawada","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075702573","display_name":"Shoji Makino","orcid":"https://orcid.org/0000-0003-1934-640X"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Makino","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Commun. Sci. Lab., NTT Corp., Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":3.8554,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94081613,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"444"},"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":0.9991000294685364,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9879000186920166,"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/residual","display_name":"Residual","score":0.8126204013824463},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7918593883514404},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.7340772151947021},{"id":"https://openalex.org/keywords/crosstalk","display_name":"Crosstalk","score":0.6771081686019897},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.64523845911026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343298554420471},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5528841614723206},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.506700336933136},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48728740215301514},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.437921404838562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4208762049674988},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3867591619491577},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.36664092540740967},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2585233449935913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2400830090045929},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1721060574054718},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1622532308101654},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.13313671946525574},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10527923703193665}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8126204013824463},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7918593883514404},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.7340772151947021},{"id":"https://openalex.org/C169822122","wikidata":"https://www.wikidata.org/wiki/Q230187","display_name":"Crosstalk","level":2,"score":0.6771081686019897},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.64523845911026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343298554420471},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5528841614723206},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.506700336933136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48728740215301514},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.437921404838562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4208762049674988},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3867591619491577},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.36664092540740967},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2585233449935913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2400830090045929},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1721060574054718},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1622532308101654},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.13313671946525574},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10527923703193665},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nnsp.2002.1030055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W11561704","https://openalex.org/W30945556","https://openalex.org/W1492221128","https://openalex.org/W1548802052","https://openalex.org/W1999542175","https://openalex.org/W2037592772","https://openalex.org/W2053434770","https://openalex.org/W2107570138","https://openalex.org/W2108384452","https://openalex.org/W2116766578","https://openalex.org/W2119516013","https://openalex.org/W2128653836","https://openalex.org/W2157365662","https://openalex.org/W2158452199","https://openalex.org/W3139695047","https://openalex.org/W4285719527","https://openalex.org/W6600478411","https://openalex.org/W6601250350","https://openalex.org/W6677817120"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2107364365","https://openalex.org/W2046761971","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W1503525627"],"abstract_inverted_index":{"The":[0,18,72,81],"performance":[1],"of":[2,32,95],"blind":[3],"source":[4],"separation":[5],"(BSS)":[6],"using":[7,103],"independent":[8],"component":[9],"analysis":[10],"(ICA)":[11],"declines":[12],"significantly":[13],"in":[14,59,69,97],"a":[15,39,52,98],"reverberant":[16,99],"environment.":[17,100],"degradation":[19],"is":[20],"mainly":[21],"caused":[22],"by":[23,48,77,115],"the":[24,30,33,60,65,85,93,108,112],"residual":[25,66,86],"crosstalk":[26,67],"components":[27,68,74,87],"derived":[28],"from":[29],"reverberation":[31],"jammer":[34],"signal.":[35],"This":[36],"paper":[37],"describes":[38],"post-processing":[40],"method":[41,54,83,110],"designed":[42],"to":[43,63,117],"refine":[44],"output":[45],"signals":[46,105],"obtained":[47],"BSS.":[49],"We":[50],"propose":[51],"new":[53],"which":[55],"uses":[56],"LMS":[57],"filters":[58],"frequency":[61],"domain":[62],"estimate":[64],"separated":[70],"signals.":[71],"estimated":[73],"are":[75],"removed":[76],"non-stational":[78],"spectral":[79],"subtraction.":[80],"proposed":[82,109],"removes":[84],"precisely,":[88],"thus":[89],"it":[90],"compensates":[91],"for":[92],"weakness":[94],"BSS":[96],"Experimental":[101],"results":[102],"speech":[104],"show":[106],"that":[107],"improves":[111],"signal-to-interference":[113],"ratio":[114],"3":[116],"5":[118],"dB.":[119]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
