{"id":"https://openalex.org/W3161899065","doi":"https://doi.org/10.1109/icassp39728.2021.9414719","title":"A Simplified Wiener Beamformer Based on Covariance Matrix Modelling","display_name":"A Simplified Wiener Beamformer Based on Covariance Matrix Modelling","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3161899065","doi":"https://doi.org/10.1109/icassp39728.2021.9414719","mag":"3161899065"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100635100","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0003-3088-5893"},"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":"Fan Zhang","raw_affiliation_strings":["CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","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":false,"raw_author_name":"Chao Pan","raw_affiliation_strings":["CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"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"]},{"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"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, QC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]},{"author_position":"last","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":["CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"CIAIC and Shaanxi Provincial Key Laboratory of Artificial Intelligence, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3088,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.52513892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"796","last_page":"800"},"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":0.9993000030517578,"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":0.9987000226974487,"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/wiener-filter","display_name":"Wiener filter","score":0.7748014330863953},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6797795295715332},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.653689980506897},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5768816471099854},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5315195322036743},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.530326783657074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288394689559937},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5193253755569458},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.49897193908691406},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4963739514350891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.472137987613678},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.46103763580322266},{"id":"https://openalex.org/keywords/microphone-array","display_name":"Microphone array","score":0.42785587906837463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4222770929336548},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.40273159742355347},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.34670934081077576},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2306482195854187},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18099811673164368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1200057864189148},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08542785048484802},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06200030446052551}],"concepts":[{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.7748014330863953},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6797795295715332},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.653689980506897},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5768816471099854},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5315195322036743},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.530326783657074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288394689559937},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5193253755569458},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.49897193908691406},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4963739514350891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.472137987613678},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.46103763580322266},{"id":"https://openalex.org/C2778806681","wikidata":"https://www.wikidata.org/wiki/Q907293","display_name":"Microphone array","level":4,"score":0.42785587906837463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4222770929336548},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.40273159742355347},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.34670934081077576},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2306482195854187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18099811673164368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1200057864189148},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08542785048484802},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06200030446052551},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322252","display_name":"Israel Science Foundation","ror":"https://ror.org/04sazxf24"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W37722415","https://openalex.org/W653761051","https://openalex.org/W1931312565","https://openalex.org/W1971834686","https://openalex.org/W2002786446","https://openalex.org/W2016100027","https://openalex.org/W2030486566","https://openalex.org/W2057035781","https://openalex.org/W2061074721","https://openalex.org/W2066218102","https://openalex.org/W2093225945","https://openalex.org/W2094287371","https://openalex.org/W2099655464","https://openalex.org/W2101609516","https://openalex.org/W2111732517","https://openalex.org/W2117678320","https://openalex.org/W2125114513","https://openalex.org/W2144244295","https://openalex.org/W2144404214","https://openalex.org/W2148692373","https://openalex.org/W2149693148","https://openalex.org/W2150678643","https://openalex.org/W2151542770","https://openalex.org/W2166547995","https://openalex.org/W2295905273","https://openalex.org/W2384242984","https://openalex.org/W2399153348","https://openalex.org/W2489919266","https://openalex.org/W2499048335","https://openalex.org/W2534542549","https://openalex.org/W2559629700","https://openalex.org/W2587603783","https://openalex.org/W2767831780","https://openalex.org/W2789388800","https://openalex.org/W2791524682","https://openalex.org/W2914883047","https://openalex.org/W2946321247","https://openalex.org/W3124056356"],"related_works":["https://openalex.org/W4251740529","https://openalex.org/W2079581646","https://openalex.org/W2807497897","https://openalex.org/W2393227939","https://openalex.org/W2170271347","https://openalex.org/W2392382502","https://openalex.org/W1589665459","https://openalex.org/W1999288241","https://openalex.org/W4205442640","https://openalex.org/W2539474923"],"abstract_inverted_index":{"This":[0,85],"paper":[1],"is":[2,20,95],"devoted":[3],"to":[4,50,80,92,98,102],"the":[5,17,25,36,40,71,103,113,118,123,130,144,148],"problem":[6],"of":[7,35,39,43,74,105,129,133,154],"adaptive":[8],"beamforming":[9],"with":[10,60],"small-spaced":[11],"microphone":[12],"arrays.":[13],"In":[14],"this":[15,61],"context,":[16],"Wiener":[18,83,150],"filter":[19],"an":[21,109],"optimal":[22],"beamformer":[23,86,146,151],"in":[24,52,117,152],"mean-squared":[26],"error":[27],"(MSE)":[28],"sense.":[29],"However,":[30],"it":[31],"requires":[32],"good":[33],"estimates":[34],"covariance":[37,72,106,124],"matrices":[38,73,125,132],"speech":[41,75],"signal":[42],"interest":[44],"and":[45,54,76,137,157],"noise,":[46,77],"which":[47,78,94,121],"are":[48],"difficult":[49],"achieve":[51,99],"time-varying":[53,90],"reverberant":[55],"acoustic":[56],"environments.":[57],"To":[58],"deal":[59],"problem,":[62],"we":[63,111],"propose":[64],"a":[65,81,127,134],"general":[66],"method":[67],"by":[68],"parametric":[69,114],"modeling":[70],"leads":[79],"simplified":[82],"beamformer.":[84],"has":[87],"only":[88],"one":[89],"parameter":[91],"estimate,":[93],"much":[96],"easier":[97],"as":[100,126],"compared":[101],"estimation":[104],"matrices.":[107],"As":[108],"example,":[110],"adopt":[112],"model":[115],"used":[116],"superdirective":[119],"beamformer,":[120],"models":[122],"combination":[128],"pseudo-coherence":[131],"point":[135],"source":[136],"diffuse":[138],"noise.":[139],"Simulation":[140],"results":[141],"show":[142],"that":[143],"developed":[145],"outperforms":[147],"traditional":[149],"terms":[153],"both":[155],"noise":[156],"reverberation":[158],"suppression.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}