{"id":"https://openalex.org/W2094287371","doi":"https://doi.org/10.1109/tasl.2013.2283104","title":"Performance Study of the MVDR Beamformer as a Function of the Source Incidence Angle","display_name":"Performance Study of the MVDR Beamformer as a Function of the Source Incidence Angle","publication_year":2013,"publication_date":"2013-09-25","ids":{"openalex":"https://openalex.org/W2094287371","doi":"https://doi.org/10.1109/tasl.2013.2283104","mag":"2094287371"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2013.2283104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2013.2283104","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","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/A5028806892","display_name":"Chao Pan","orcid":"https://orcid.org/0000-0002-1214-041X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Pan","raw_affiliation_strings":["Research Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi'an, Shaanxi, China","Res. Center of Intell. Acoust. & Immersive Commun., Northwestern Polytech. Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Res. Center of Intell. Acoust. & Immersive Commun., Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, China","Northwestern Polytech. Univ., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytech. Univ., Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, Quebec, Canada","[INRS-EMT, University of Quebec, Montr\u00e9al, QC, Canada]"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]},{"raw_affiliation_string":"[INRS-EMT, University of Quebec, Montr\u00e9al, QC, Canada]","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028806892"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":7.393,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.97722555,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"1","first_page":"67","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6576322317123413},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.6553956866264343},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.60997074842453},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.5322644114494324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5320563912391663},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.48246365785598755},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.46523967385292053},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4443354308605194},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.43126463890075684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2949087619781494},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.268108606338501},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24211552739143372},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2232164442539215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2079366147518158},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.10491371154785156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07942408323287964},{"id":"https://openalex.org/keywords/loudspeaker","display_name":"Loudspeaker","score":0.057296186685562134}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6576322317123413},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.6553956866264343},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.60997074842453},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.5322644114494324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5320563912391663},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.48246365785598755},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.46523967385292053},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4443354308605194},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.43126463890075684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2949087619781494},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.268108606338501},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24211552739143372},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2232164442539215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2079366147518158},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.10491371154785156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07942408323287964},{"id":"https://openalex.org/C157138929","wikidata":"https://www.wikidata.org/wiki/Q570","display_name":"Loudspeaker","level":2,"score":0.057296186685562134},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tasl.2013.2283104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2013.2283104","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.728.1543","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.728.1543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://externe.emt.inrs.ca/users/benesty/papers/aslp_jan2014.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.47999998927116394}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323899","display_name":"Academia Rom\u00e2na","ror":"https://ror.org/0561n6946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W339564058","https://openalex.org/W1497106521","https://openalex.org/W1515932869","https://openalex.org/W1587432140","https://openalex.org/W2005602327","https://openalex.org/W2030486566","https://openalex.org/W2061074721","https://openalex.org/W2066218102","https://openalex.org/W2067584370","https://openalex.org/W2082867228","https://openalex.org/W2093225945","https://openalex.org/W2099205268","https://openalex.org/W2099984896","https://openalex.org/W2101609516","https://openalex.org/W2106875167","https://openalex.org/W2111320049","https://openalex.org/W2117678320","https://openalex.org/W2118119802","https://openalex.org/W2125298573","https://openalex.org/W2130432819","https://openalex.org/W2144244295","https://openalex.org/W2147665979","https://openalex.org/W2147965152","https://openalex.org/W2151552957","https://openalex.org/W2158549121","https://openalex.org/W2159158911","https://openalex.org/W2167584817","https://openalex.org/W2295905273","https://openalex.org/W2413104649","https://openalex.org/W3148168866","https://openalex.org/W4247773827","https://openalex.org/W4295679937","https://openalex.org/W6635023956","https://openalex.org/W6715185404"],"related_works":["https://openalex.org/W2807497897","https://openalex.org/W2392382502","https://openalex.org/W1589665459","https://openalex.org/W1999288241","https://openalex.org/W4205442640","https://openalex.org/W2539474923","https://openalex.org/W1982764159","https://openalex.org/W2393615245","https://openalex.org/W2348931051","https://openalex.org/W2168445433"],"abstract_inverted_index":{"Linear":[0],"microphone":[1],"arrays":[2],"combined":[3],"with":[4],"the":[5,25,30,36,41,51,54,61,66,73,97,101,106,110,127,145,148],"minimum":[6],"variance":[7],"distortionless":[8],"response":[9],"(MVDR)":[10],"beamformer":[11,56,103],"have":[12],"been":[13],"widely":[14],"studied":[15],"in":[16,40,79,109,131],"various":[17],"applications":[18],"to":[19],"acquire":[20],"desired":[21,37],"signals":[22],"and":[23,49,70,90,116],"reduce":[24],"unwanted":[26],"noise.":[27,92,134],"Most":[28],"of":[29,53,60,100,147],"existing":[31],"array":[32,168],"systems":[33,140,169],"assume":[34],"that":[35,96,137],"sources":[38],"are":[39],"broadside":[42],"direction.":[43],"In":[44],"this":[45,160],"paper,":[46],"we":[47,75],"study":[48],"analyze":[50],"performance":[52,78,99],"MVDR":[55,102,149],"as":[57,72],"a":[58],"function":[59],"source":[62,107],"incidence":[63,129],"angle.":[64],"Using":[65],"signal-to-noise":[67],"ratio":[68],"(SNR)":[69],"beampattern":[71],"criteria,":[74],"investigate":[76],"its":[77,120],"four":[80],"different":[81],"scenarios:":[82],"spatially":[83,132],"white":[84,133],"noise,":[85,87,89],"diffuse":[86,114],"diffuse-plus-white":[88],"point-source-plus-white":[91],"The":[93],"results":[94],"demonstrate":[95],"optimal":[98],"occurs":[104],"when":[105],"is":[108],"endfire":[111],"directions":[112],"for":[113,170],"noise":[115,118],"point-source":[117],"while":[119],"SNR":[121],"gain":[122],"does":[123,153],"not":[124,142,154],"depend":[125],"on":[126],"signal":[128],"angle":[130],"This":[135,151],"indicates":[136],"most":[138],"current":[139],"may":[141],"fully":[143],"exploit":[144],"potential":[146],"beamformer.":[150],"analysis":[152],"only":[155],"help":[156],"us":[157,165],"better":[158,167],"understand":[159],"algorithm,":[161],"but":[162],"also":[163],"helps":[164],"design":[166],"practical":[171],"applications.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
