{"id":"https://openalex.org/W2993995043","doi":"https://doi.org/10.1109/lsp.2019.2957675","title":"Separation of Nonlinearly Mixed Sources Using End-to-End Deep Neural Networks","display_name":"Separation of Nonlinearly Mixed Sources Using End-to-End Deep Neural Networks","publication_year":2019,"publication_date":"2019-12-04","ids":{"openalex":"https://openalex.org/W2993995043","doi":"https://doi.org/10.1109/lsp.2019.2957675","mag":"2993995043"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2019.2957675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2957675","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5008885979","display_name":"Hojatollah Zamani","orcid":"https://orcid.org/0000-0001-8300-280X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hojatollah Zamani","raw_affiliation_strings":["Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016178698","display_name":"Saeed Razavikia","orcid":"https://orcid.org/0000-0003-4519-9204"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeed Razavikia","raw_affiliation_strings":["Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042428131","display_name":"Hatef Otroshi Shahreza","orcid":"https://orcid.org/0000-0002-8199-0098"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hatef Otroshi-Shahreza","raw_affiliation_strings":["Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020881664","display_name":"Arash Amini","orcid":"https://orcid.org/0000-0002-7082-9581"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arash Amini","raw_affiliation_strings":["Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Advanced Communication Research Institute and the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008885979"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.3352,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.58184369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"101","last_page":"105"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9810000061988831,"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":0.9783999919891357,"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/nonlinear-system","display_name":"Nonlinear system","score":0.7064877152442932},{"id":"https://openalex.org/keywords/taylor-series","display_name":"Taylor series","score":0.6689968109130859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5977005362510681},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5540013313293457},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5441374182701111},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5089962482452393},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4892975986003876},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.48209407925605774},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.47709164023399353},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4547346234321594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4473256766796112},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.44217634201049805},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.42765742540359497},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41184529662132263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40536415576934814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.353424072265625},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13090866804122925},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08438080549240112}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7064877152442932},{"id":"https://openalex.org/C158946198","wikidata":"https://www.wikidata.org/wiki/Q131187","display_name":"Taylor series","level":2,"score":0.6689968109130859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5977005362510681},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5540013313293457},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5441374182701111},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5089962482452393},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4892975986003876},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.48209407925605774},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.47709164023399353},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4547346234321594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4473256766796112},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.44217634201049805},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.42765742540359497},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41184529662132263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40536415576934814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.353424072265625},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13090866804122925},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08438080549240112},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2019.2957675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2019.2957675","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322243","display_name":"Iran National Science Foundation","ror":"https://ror.org/03sr1ma14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W418250190","https://openalex.org/W1522301498","https://openalex.org/W1637922873","https://openalex.org/W1755563775","https://openalex.org/W1977067929","https://openalex.org/W1978373519","https://openalex.org/W2002086429","https://openalex.org/W2005818237","https://openalex.org/W2018282388","https://openalex.org/W2053165762","https://openalex.org/W2056804312","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2099741732","https://openalex.org/W2101373429","https://openalex.org/W2131774270","https://openalex.org/W2160634130","https://openalex.org/W2180445599","https://openalex.org/W2408744528","https://openalex.org/W2619372479","https://openalex.org/W2964121744","https://openalex.org/W3102095506","https://openalex.org/W3122463936","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6636891899"],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W2383482627","https://openalex.org/W1889624880"],"abstract_inverted_index":{"In":[0,39,50],"this":[1,44,51],"letter,":[2,52],"we":[3,53,76,100],"consider":[4,54],"the":[5,22,33,37,40,59,72,86,89,94,98,110,114,121,126,133,136],"problem":[6],"of":[7,24,36,88,104,113,135],"blind":[8],"source":[9],"separation":[10,23],"under":[11],"certain":[12],"nonlinear":[13,41,55,73,115],"mixing":[14,56],"conditions":[15],"using":[16,65],"a":[17,66,102,129],"deep":[18],"learning":[19],"approach.":[20],"Conventionally,":[21],"sources":[25,127],"within":[26],"linear":[27],"mixtures":[28],"is":[29,46],"achieved":[30],"by":[31],"applying":[32],"independence":[34],"property":[35,45],"sources.":[38,95],"regime,":[42],"however,":[43],"no":[47],"longer":[48],"sufficient.":[49],"operators":[57],"where":[58],"non-linearity":[60],"could":[61],"be":[62],"fairly":[63],"approximated":[64],"Taylor":[67,111],"series.":[68],"Next,":[69],"for":[70],"solving":[71],"BSS":[74],"problem,":[75],"design":[77],"an":[78],"end-to-end":[79],"recurrent":[80],"neural":[81],"network":[82],"(RNN)":[83],"that":[84,120],"learns":[85],"inverse":[87],"system,":[90],"and":[91],"ultimately":[92],"separates":[93,125],"For":[96],"training":[97],"RNN,":[99],"employ":[101],"set":[103],"multi-variate":[105],"polynomial":[106],"functions":[107],"to":[108,132],"simulate":[109],"expansion":[112],"mixture.":[116],"Numerical":[117],"experiments":[118],"show":[119],"proposed":[122],"method":[123],"successfully":[124],"with":[128],"performance":[130],"superior":[131],"state":[134],"art":[137],"approaches.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
