{"id":"https://openalex.org/W2154298440","doi":"https://doi.org/10.1109/iscas.2005.1465938","title":"An Approach for Nonlinear Blind Source Separation of Signals with Noise Using Neural Networks and Higher-Order Cumulants","display_name":"An Approach for Nonlinear Blind Source Separation of Signals with Noise Using Neural Networks and Higher-Order Cumulants","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2154298440","doi":"https://doi.org/10.1109/iscas.2005.1465938","mag":"2154298440"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2005.1465938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 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/A5101983923","display_name":"Nuo Zhang","orcid":"https://orcid.org/0000-0002-5099-0749"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Nuo Zhang","raw_affiliation_strings":["Graduate School of Science and Technology, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353432","display_name":"Xiaowei Zhang","orcid":"https://orcid.org/0000-0001-8974-9963"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaowei Zhang","raw_affiliation_strings":["Graduate School of Science and Technology, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057981513","display_name":"Jianming L\u00fc","orcid":"https://orcid.org/0000-0002-1558-4040"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianming Lu","raw_affiliation_strings":["Graduate School of Science and Technology, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108552125","display_name":"Takashi Yahagi","orcid":null},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Yahagi","raw_affiliation_strings":["Graduate School of Science and Technology, Chiba University, Chiba, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Chiba University, Chiba, Japan","institution_ids":["https://openalex.org/I159385669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101983923"],"corresponding_institution_ids":["https://openalex.org/I159385669"],"apc_list":null,"apc_paid":null,"fwci":0.3179,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61126151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"5726","last_page":"5729"},"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":0.98089998960495,"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/T10320","display_name":"Neural Networks and Applications","score":0.9779999852180481,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cumulant","display_name":"Cumulant","score":0.8566489219665527},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.7797410488128662},{"id":"https://openalex.org/keywords/higher-order-statistics","display_name":"Higher-order statistics","score":0.7084876298904419},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5827829837799072},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5775614380836487},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5462337732315063},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.51363605260849},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48833319544792175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44381558895111084},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.42785656452178955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42694538831710815},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4174955189228058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39062565565109253},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2941872477531433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2542566657066345},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13196036219596863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10686036944389343},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09381678700447083}],"concepts":[{"id":"https://openalex.org/C172686274","wikidata":"https://www.wikidata.org/wiki/Q746007","display_name":"Cumulant","level":2,"score":0.8566489219665527},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7797410488128662},{"id":"https://openalex.org/C2780576426","wikidata":"https://www.wikidata.org/wiki/Q5757980","display_name":"Higher-order statistics","level":4,"score":0.7084876298904419},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5827829837799072},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5775614380836487},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5462337732315063},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.51363605260849},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48833319544792175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44381558895111084},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.42785656452178955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42694538831710815},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4174955189228058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39062565565109253},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2941872477531433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2542566657066345},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13196036219596863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10686036944389343},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09381678700447083},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2005.1465938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2005.1465938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 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":9,"referenced_works":["https://openalex.org/W82909698","https://openalex.org/W1991239591","https://openalex.org/W1996355918","https://openalex.org/W2000356325","https://openalex.org/W2029137712","https://openalex.org/W2101185247","https://openalex.org/W2131408671","https://openalex.org/W4235564517","https://openalex.org/W6603333265"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2101031689","https://openalex.org/W2356479045"],"abstract_inverted_index":{"We":[0,36],"propose":[1],"a":[2,59],"robust":[3],"approach":[4],"for":[5],"blind":[6],"source":[7],"separation":[8],"when":[9],"observations":[10],"are":[11],"contaminated":[12],"with":[13,53],"Gaussian":[14,86],"noise":[15,87],"and":[16,47,62,93],"nonlinear":[17,33],"distortion.":[18],"A":[19],"radial":[20],"basis":[21],"function":[22,41],"network":[23],"(RBFN)":[24],"is":[25],"employed":[26],"to":[27],"estimate":[28],"the":[29,32,68,74,78,101],"inverse":[30],"of":[31,44,50,65,76,95,103],"mixing":[34],"matrix.":[35],"utilize":[37],"an":[38],"novel":[39],"cost":[40],"which":[42],"consists":[43],"mutual":[45],"information":[46,64],"higher-order":[48,55],"cumulants":[49,56],"signals.":[51,66,90],"Compared":[52],"moments,":[54],"can":[57],"provide":[58],"clearer":[60],"form":[61],"more":[63],"Thus,":[67],"proposed":[69],"method":[70],"has":[71],"not":[72],"only":[73],"capacity":[75],"recovering":[77],"nonlinearly":[79],"mixed":[80],"signals,":[81,98],"but":[82],"also":[83],"removing":[84],"high-level":[85],"from":[88],"transmitted":[89],"Through":[91],"simulation":[92],"analysis":[94],"artificially":[96],"synthesized":[97],"we":[99],"illustrate":[100],"efficacy":[102],"this":[104],"approach.":[105]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}