{"id":"https://openalex.org/W2009724730","doi":"https://doi.org/10.1109/icassp.2013.6638252","title":"A randomly perturbed infomax algorithm for blind source separation","display_name":"A randomly perturbed infomax algorithm for blind source separation","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2009724730","doi":"https://doi.org/10.1109/icassp.2013.6638252","mag":"2009724730"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062448574","display_name":"Qi He","orcid":"https://orcid.org/0000-0002-1533-7568"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qi He","raw_affiliation_strings":["Department of Mathematics, University of California, Irvine, USA","Dept. of Math., Univ. of California Irvine, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Dept. of Math., Univ. of California Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059708262","display_name":"Jack Xin","orcid":"https://orcid.org/0000-0002-6438-8476"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jack Xin","raw_affiliation_strings":["Department of Mathematics, University of California, Irvine, USA","Dept. of Math., Univ. of California Irvine, Irvine, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of California, Irvine, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"Dept. of Math., Univ. of California Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204250578"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"3218","last_page":"3222"},"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":0.9890000224113464,"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":0.9796000123023987,"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/infomax","display_name":"Infomax","score":0.975153923034668},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.8596184253692627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5687156915664673},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5424687266349792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4856235086917877},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.449853777885437},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.42977967858314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3894941806793213},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3727957010269165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3452785909175873},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13816002011299133},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09815657138824463}],"concepts":[{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.975153923034668},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.8596184253692627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687156915664673},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5424687266349792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4856235086917877},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.449853777885437},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.42977967858314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3894941806793213},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3727957010269165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3452785909175873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13816002011299133},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09815657138824463},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638252","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638252","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and 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":22,"referenced_works":["https://openalex.org/W1489793438","https://openalex.org/W1511751337","https://openalex.org/W1541809739","https://openalex.org/W1587835496","https://openalex.org/W1977067929","https://openalex.org/W2015387841","https://openalex.org/W2059120410","https://openalex.org/W2108384452","https://openalex.org/W2118648338","https://openalex.org/W2119647652","https://openalex.org/W2121579089","https://openalex.org/W2133069808","https://openalex.org/W2163967402","https://openalex.org/W2164676403","https://openalex.org/W2237638764","https://openalex.org/W2741003396","https://openalex.org/W3124046351","https://openalex.org/W3125855424","https://openalex.org/W4210869902","https://openalex.org/W4302033506","https://openalex.org/W6678050925","https://openalex.org/W6679756777"],"related_works":["https://openalex.org/W2389189059","https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W2166724900","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W1503525627","https://openalex.org/W2553224454","https://openalex.org/W4242656336"],"abstract_inverted_index":{"We":[0,107],"present":[1],"a":[2,23,27,59,78,98,102],"novel":[3],"modification":[4],"to":[5,22,34,76,83,87,101],"the":[6,18,35,44,48,64,84,89,109,112,143],"well-known":[7],"infomax":[8,19,85],"algorithm":[9,20,49,86],"of":[10,26,37,43,80,111,127,142],"blind":[11,125],"source":[12],"separation.":[13],"Under":[14],"natural":[15],"gradient":[16],"descent,":[17],"converges":[21],"stationary":[24,56,105],"point":[25],"limiting":[28],"ordinary":[29],"differential":[30],"equation.":[31],"However,":[32],"due":[33],"presence":[36],"saddle":[38,137],"points":[39,57,138],"or":[40,139],"local":[41,140],"minima":[42,141],"corresponding":[45],"likelihood":[46,144],"function,":[47],"may":[50],"be":[51],"trapped":[52],"around":[53],"these":[54],"\u201cbad\u201d":[55],"for":[58],"long":[60],"time,":[61],"especially":[62],"if":[63],"initial":[65],"data":[66],"are":[67,146],"near":[68],"them.":[69],"To":[70],"speed":[71],"up":[72],"convergence,":[73],"we":[74],"propose":[75],"add":[77],"sequence":[79,91],"random":[81],"perturbations":[82],"\u201cshake\u201d":[88],"iterating":[90],"so":[92,135],"that":[93,136],"it":[94],"is":[95],"\u201ccaptured\u201d":[96],"by":[97],"path":[99],"descending":[100],"more":[103],"stable":[104],"point.":[106],"analyze":[108],"convergence":[110,120],"randomly":[113],"perturbed":[114],"algorithm,":[115],"and":[116],"illustrate":[117],"its":[118],"fast":[119],"through":[121],"numerical":[122],"examples":[123,131],"on":[124],"demixing":[126],"stochastic":[128],"signals.":[129],"The":[130],"have":[132],"analytical":[133],"structures":[134],"functions":[145],"explicit.":[147]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}