{"id":"https://openalex.org/W2062067006","doi":"https://doi.org/10.1121/1.3249269","title":"Extraction of acoustic signals using blind source separation method.","display_name":"Extraction of acoustic signals using blind source separation method.","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2062067006","doi":"https://doi.org/10.1121/1.3249269","mag":"2062067006"},"language":"en","primary_location":{"id":"doi:10.1121/1.3249269","doi":"https://doi.org/10.1121/1.3249269","is_oa":false,"landing_page_url":"https://doi.org/10.1121/1.3249269","pdf_url":null,"source":{"id":"https://openalex.org/S11296630","display_name":"The Journal of the Acoustical Society of America","issn_l":"0001-4966","issn":["0001-4966","1520-8524","1520-9024"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-b","erih-plus","jufo-3","ki-jl-1","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320226","host_organization_name":"Acoustical Society of America","host_organization_lineage":["https://openalex.org/P4310320226"],"host_organization_lineage_names":["Acoustical Society of America"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of the Acoustical Society of America","raw_type":"journal-article"},"volume":null,"type":"conference-abstract","is_traditional":false,"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/A5016255917","display_name":"Na Zhu","orcid":"https://orcid.org/0000-0002-9794-3130","observed_orcids":["https://orcid.org/0000-0002-9794-3130"]},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Zhu","raw_affiliation_strings":["Dept. of Mech. Eng., Wayne State Univ., Detroit, MI 48202"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mech. Eng., Wayne State Univ., Detroit, MI 48202","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101984003","display_name":"Sean F. Wu","orcid":"https://orcid.org/0000-0002-3021-9033","observed_orcids":["https://orcid.org/0000-0002-3021-9033"]},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Wu","raw_affiliation_strings":["Dept. of Mech. Eng., Wayne State Univ., Detroit, MI 48202"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mech. Eng., Wayne State Univ., Detroit, MI 48202","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185443292"],"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":"126","issue":"4_Supplement","first_page":"2254","last_page":"2254"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9541000127792358,"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":0.9541000127792358,"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":0.042399998754262924,"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/T11309","display_name":"Music and Audio Processing","score":0.0013000000035390258,"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/blind-source-separation","display_name":"blind source separation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/audio-feature-extraction","display_name":"audio feature extraction","score":0.7329999804496765},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":0.9700000286102295},{"id":"https://openalex.org/keywords/microphone-array","display_name":"microphone array","score":0.6660000085830688},{"id":"https://openalex.org/keywords/non-gaussian-signals","display_name":"non-Gaussian signals","score":0.6840000152587891},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.847000002861023},{"id":"https://openalex.org/keywords/sampling-rate","display_name":"sampling frequency","score":0.6230000257492065},{"id":"https://openalex.org/keywords/mutual-information-minimization","display_name":"mutual information minimization","score":0.8460000157356262},{"id":"https://openalex.org/keywords/free-field-acoustics","display_name":"free-field acoustics","score":0.6069999933242798},{"id":"https://openalex.org/keywords/helicopter-noise","display_name":"helicopter noise","score":0.4449999928474426},{"id":"https://openalex.org/keywords/machinery-noise","display_name":"machine noise","score":0.7929999828338623}],"concepts":[{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.714638352394104},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6947020888328552},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6941789388656616},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.6919726133346558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863624453544617},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6226946115493774},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.607688844203949},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.5725986361503601},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5274933576583862},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5110434293746948},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.496357262134552},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4806888997554779},{"id":"https://openalex.org/C93240960","wikidata":"https://www.wikidata.org/wiki/Q217270","display_name":"Acoustic source localization","level":3,"score":0.46693652868270874},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.4447159767150879},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4359789192676544},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.26653921604156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22132077813148499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20679467916488647},{"id":"https://openalex.org/C204723758","wikidata":"https://www.wikidata.org/wiki/Q3882459","display_name":"Acoustic wave","level":2,"score":0.12162277102470398},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09568041563034058},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08151787519454956},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/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/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1121/1.3249269","doi":"https://doi.org/10.1121/1.3249269","is_oa":false,"landing_page_url":"https://doi.org/10.1121/1.3249269","pdf_url":null,"source":{"id":"https://openalex.org/S11296630","display_name":"The Journal of the Acoustical Society of America","issn_l":"0001-4966","issn":["0001-4966","1520-8524","1520-9024"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-b","cwts-core","dongbi-b","erih-plus","jufo-3","ki-jl-1","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320226","host_organization_name":"Acoustical Society of America","host_organization_lineage":["https://openalex.org/P4310320226"],"host_organization_lineage_names":["Acoustical Society of America"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of the Acoustical Society of America","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4284994356","https://openalex.org/W2167752533","https://openalex.org/W7170198243","https://openalex.org/W7096828308","https://openalex.org/W7095160732","https://openalex.org/W1995736543","https://openalex.org/W4242656336","https://openalex.org/W1994923416","https://openalex.org/W2792665726","https://openalex.org/W1917896213"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,32,48,65,73],"results":[4,101,186],"of":[5,15,27,34,56,64,75,82,115,133,152,158,164,178],"acoustic":[6,22,49,116],"feature":[7],"extraction":[8],"using":[9,104],"blind":[10],"source":[11,58,138,181],"separation.":[12,182],"The":[13,43,131],"objective":[14],"this":[16],"study":[17],"is":[18,77],"to":[19,141,175],"separate":[20],"individual":[21,165],"signals":[23,29,40,68],"based":[24,88],"on":[25,62,89,162],"measurements":[26],"overall":[28],"without":[30],"knowing":[31],"number":[33,74],"sources,":[35,117],"their":[36],"locations,":[37,137,139],"and":[38,71,100,136,146,195],"how":[39],"are":[41,46,51,69,86,102,129,167,192,198],"mixed.":[42],"only":[44],"requirements":[45],"(1)":[47],"sources":[50,76,166,191],"statistically":[52],"independent,":[53],"namely,":[54],"knowledge":[55],"one":[57],"gives":[59],"no":[60,78],"information":[61],"that":[63,81,171],"other,":[66],"(2)":[67],"non-Gaussian,":[70],"(3)":[72],"more":[79],"than":[80],"microphones.":[83],"Numerical":[84],"simulations":[85],"conducted":[87],"input":[90],"data":[91],"collected":[92],"by":[93],"four":[94],"microphones":[95],"in":[96,110,180],"a":[97],"free":[98],"field,":[99],"obtained":[103,189],"fast":[105],"independent":[106],"component":[107],"analysis":[108],"(ICA)":[109],"time":[111],"domain.":[112],"Different":[113],"types":[114],"including":[118],"human":[119],"speech,":[120],"music,":[121],"impulsive":[122],"sounds,":[123,127],"machine":[124],"noise,":[125],"helicopter":[126],"etc.,":[128,161],"used.":[130],"impacts":[132],"microphone":[134],"spacing":[135],"signal":[140],"noise":[142],"ratio,":[143],"sampling":[144],"rate,":[145],"various":[147],"methodologies":[148],"such":[149],"as":[150],"maximization":[151],"non-Gaussianity,":[153],"maximal":[154],"likelihood":[155],"estimation,":[156],"minimization":[157],"mutual":[159],"information,":[160],"separations":[163],"examined.":[168],"Results":[169],"show":[170],"different":[172,176],"approaches":[173],"lead":[174],"levels":[177],"success":[179],"In":[183],"general,":[184],"satisfactory":[185],"can":[187],"be":[188],"when":[190],"spatially":[193],"isolated":[194],"reverberation":[196],"effects":[197],"negligible.":[199]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}