{"id":"https://openalex.org/W2528648358","doi":"https://doi.org/10.1109/tnnls.2016.2610960","title":"Underdetermined Blind Source Separation Using Sparse Coding","display_name":"Underdetermined Blind Source Separation Using Sparse Coding","publication_year":2016,"publication_date":"2016-10-05","ids":{"openalex":"https://openalex.org/W2528648358","doi":"https://doi.org/10.1109/tnnls.2016.2610960","mag":"2528648358","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113526"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2610960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2610960","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Underdetermined_Blind_Source_Separation_Using_Sparse_Coding/20846539","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086517854","display_name":"Liangli Zhen","orcid":"https://orcid.org/0000-0003-0481-3298"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangli Zhen","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102880470","display_name":"Dezhong Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Peng","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388188","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0002-5867-9322"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Yi","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051297830","display_name":"Yong Xiang","orcid":"https://orcid.org/0000-0003-3545-7863"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yong Xiang","raw_affiliation_strings":["School of Engineering and Information Technology, Deakin University, Geelong, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Deakin University, Geelong, VIC, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338429","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0001-5221-3655"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Chen","raw_affiliation_strings":["Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086517854"],"corresponding_institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"],"apc_list":null,"apc_paid":null,"fwci":9.1646,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98390872,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"28","issue":"12","first_page":"3102","last_page":"3108"},"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":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/blind-signal-separation","display_name":"Blind signal separation","score":0.8388797640800476},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.8260085582733154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563386082649231},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.45438632369041443},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.43844518065452576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37071692943573},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36548852920532227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36405789852142334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30985355377197266},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16109082102775574},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0789131224155426}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8388797640800476},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.8260085582733154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563386082649231},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.45438632369041443},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.43844518065452576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37071692943573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36548852920532227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36405789852142334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30985355377197266},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16109082102775574},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0789131224155426},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tnnls.2016.2610960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2610960","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:28113526","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113526","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:dro.deakin.edu.au:DU:30101791","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:figshare.com:article/20846539","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Underdetermined_Blind_Source_Separation_Using_Sparse_Coding/20846539","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20846539","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Underdetermined_Blind_Source_Separation_Using_Sparse_Coding/20846539","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1916103525","display_name":null,"funder_award_id":"20120181110053","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G3392884288","display_name":null,"funder_award_id":"61172180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7670333304","display_name":null,"funder_award_id":"61432012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1561630551","https://openalex.org/W1932803568","https://openalex.org/W1956364622","https://openalex.org/W1980349029","https://openalex.org/W1997231965","https://openalex.org/W2038182769","https://openalex.org/W2038237443","https://openalex.org/W2043511730","https://openalex.org/W2050834445","https://openalex.org/W2059921811","https://openalex.org/W2077626982","https://openalex.org/W2091824465","https://openalex.org/W2105053623","https://openalex.org/W2113304962","https://openalex.org/W2130028685","https://openalex.org/W2142638745","https://openalex.org/W2143132653","https://openalex.org/W2150743271","https://openalex.org/W2151186643","https://openalex.org/W2152374194","https://openalex.org/W2153320597","https://openalex.org/W2153909896","https://openalex.org/W2158456262","https://openalex.org/W2168975387","https://openalex.org/W2172016139","https://openalex.org/W2188563164","https://openalex.org/W2296131993","https://openalex.org/W2495401395","https://openalex.org/W2531537594","https://openalex.org/W2964167436","https://openalex.org/W3150091332","https://openalex.org/W3163357387","https://openalex.org/W4233231227","https://openalex.org/W6697521581"],"related_works":["https://openalex.org/W2383973401","https://openalex.org/W2034312940","https://openalex.org/W2351680970","https://openalex.org/W2095924515","https://openalex.org/W2030887432","https://openalex.org/W2900617041","https://openalex.org/W2206857820","https://openalex.org/W2375962929","https://openalex.org/W2006085665","https://openalex.org/W2017878933"],"abstract_inverted_index":{"In":[0],"an":[1,33,132],"underdetermined":[2,149],"mixture":[3,20,54],"system":[4],"with":[5,64,146],"unknown":[6],"sources,":[7],"it":[8],"is":[9,140],"a":[10,102],"challenging":[11],"task":[12],"to":[13,36,142],"separate":[14],"these":[15,59,79],"sources":[16],"from":[17,41],"their":[18],"observed":[19,53],"signals,":[21,126],"where":[22,67],".":[23],"By":[24,74],"exploiting":[25],"the":[26,42,47,76,87,90,94,109,114,120,127,136,143,147,160,163],"technique":[27],"of":[28,45,52,89,104,124,135,162],"sparse":[29,110],"coding,":[30],"we":[31,85],"propose":[32],"effective":[34],"approach":[35],"discover":[37],"some":[38],"1-D":[39,60],"subspaces":[40,61,80],"set":[43],"consisting":[44],"all":[46,119],"time-frequency":[48],"(TF)":[49],"representation":[50,116,122],"vectors":[51,77,123],"signals.":[55],"We":[56],"show":[57],"that":[58],"are":[62],"associated":[63],"TF":[65,121],"points":[66],"only":[68],"single":[69],"source":[70,95,151],"possesses":[71],"dominant":[72],"energy.":[73],"grouping":[75],"in":[78],"via":[81],"hierarchical":[82],"clustering":[83],"algorithm,":[84],"obtain":[86],"estimation":[88,134],"mixing":[91,125,137],"matrix.":[92],"Finally,":[93],"signals":[96],"could":[97],"be":[98],"recovered":[99],"by":[100],"solving":[101],"series":[103],"least":[105],"squares":[106],"problems.":[107],"Since":[108],"coding":[111],"strategy":[112],"considers":[113],"linear":[115],"relations":[117],"among":[118],"proposed":[128,164],"algorithm":[129],"can":[130],"provide":[131],"accurate":[133],"matrix":[138],"and":[139,156],"robust":[141],"noises":[144],"compared":[145],"existing":[148],"blind":[150],"separation":[152],"approaches.":[153],"Theoretical":[154],"analysis":[155],"experimental":[157],"results":[158],"demonstrate":[159],"effectiveness":[161],"method.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}