{"id":"https://openalex.org/W2148966950","doi":"https://doi.org/10.1109/icassp.2005.1415950","title":"EKENS: A Learning on Nonlinear Blindly Mixed Signals","display_name":"EKENS: A Learning on Nonlinear Blindly Mixed Signals","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2148966950","doi":"https://doi.org/10.1109/icassp.2005.1415950","mag":"2148966950"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5037482622","display_name":"Wai Yie Leong","orcid":"https://orcid.org/0000-0002-5389-1121"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"W.Y. Leong","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, University of Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, University of Queensland, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048146967","display_name":"J. Homer","orcid":"https://orcid.org/0000-0002-5067-4009"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John Homer","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, University of Queensland, Australia","Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., St. Lucia, QLD, , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, University of Queensland, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]},{"raw_affiliation_string":"Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., St. Lucia, QLD, , Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2934,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80734212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"81","last_page":"84"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9847000241279602,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7619645595550537},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6525290012359619},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6356247663497925},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6114630699157715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5646803975105286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5540838241577148},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.495367169380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4911467730998993},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.49079832434654236},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42418649792671204},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.41579669713974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38062652945518494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37447187304496765},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3319759666919708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24597501754760742},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09638100862503052},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09257623553276062}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7619645595550537},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6525290012359619},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6356247663497925},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6114630699157715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5646803975105286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5540838241577148},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.495367169380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4911467730998993},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.49079832434654236},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42418649792671204},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.41579669713974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38062652945518494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37447187304496765},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3319759666919708},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24597501754760742},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09638100862503052},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09257623553276062},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2005.1415950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:103003","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1491220419","https://openalex.org/W1500500699","https://openalex.org/W1548802052","https://openalex.org/W1889901143","https://openalex.org/W1977067929","https://openalex.org/W2099741732","https://openalex.org/W2108384452","https://openalex.org/W2110707060","https://openalex.org/W2146871592","https://openalex.org/W2171956013","https://openalex.org/W2242605548","https://openalex.org/W4205778870","https://openalex.org/W6690255225"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"We":[0],"present":[1],"experimental":[2],"results":[3],"of":[4,8,26,58,84],"the":[5,32,54,59,63,68,85,94,101,105,109],"blind":[6],"separation":[7],"independent":[9],"sources":[10,60,103],"from":[11,104],"their":[12],"nonlinear":[13,20,45,77,114],"mixtures.":[14],"The":[15,71,82],"proposed":[16],"EKENS":[17,86,95],"(equivariant":[18],"kernel":[19,64],"separation)":[21],"algorithm":[22,30,88,96],"is":[23,36,89,97,113],"a":[24,27],"generalization":[25],"natural":[28],"gradient":[29],"and":[31,115],"Gram-Charlier":[33],"series,":[34],"which":[35],"extended":[37],"in":[38],"two":[39],"ways:":[40],"(1)":[41],"to":[42,48,51,53,99],"deal":[43],"with":[44],"mapping;":[46],"(2)":[47],"be":[49],"able":[50,98],"adapt":[52],"actual":[55],"statistical":[56],"distributions":[57],"by":[61],"estimating":[62],"density":[65],"distribution":[66],"at":[67],"output":[69],"signals.":[70],"observations":[72],"are":[73],"modelled":[74],"based":[75],"on":[76],"generative":[78],"multilayer":[79],"perceptron":[80],"analysis.":[81],"theory":[83],"learning":[87],"discussed.":[90],"Simulations":[91],"show":[92],"that":[93],"find":[100],"underlying":[102],"observation,":[106],"even":[107],"though":[108],"data":[110],"generating":[111],"mapping":[112],"unknown.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
