{"id":"https://openalex.org/W4392902604","doi":"https://doi.org/10.1109/icassp48485.2024.10447393","title":"Directional Gain Based Noise Covariance Matrix Estimation for MVDR Beamforming","display_name":"Directional Gain Based Noise Covariance Matrix Estimation for MVDR Beamforming","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392902604","doi":"https://doi.org/10.1109/icassp48485.2024.10447393"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 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/A5100635096","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-2478-4722"},"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":["Northwestern Polytechnical University,CIAIC,Xi’an,China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,CIAIC,Xi’an,China,710072","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":["Northwestern Polytechnical University,CIAIC,Xi’an,China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,CIAIC,Xi’an,China,710072","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":["University of Quebec,INRS-EMT,Montreal,QC,Canada,H5A 1K6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Quebec,INRS-EMT,Montreal,QC,Canada,H5A 1K6","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":["Northwestern Polytechnical University,CIAIC,Xi’an,China,710072"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University,CIAIC,Xi’an,China,710072","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":1.8343,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8491706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"511","last_page":"515"},"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":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9945999979972839,"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/beamforming","display_name":"Beamforming","score":0.7357324957847595},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6984180212020874},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6897715330123901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6171958446502686},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.6064440608024597},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5299761295318604},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5126549601554871},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.48657071590423584},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.44294828176498413},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4320448935031891},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4193562865257263},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34812015295028687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31781795620918274},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27434566617012024},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15120863914489746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13590386509895325}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7357324957847595},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6984180212020874},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6897715330123901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171958446502686},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.6064440608024597},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5299761295318604},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5126549601554871},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.48657071590423584},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.44294828176498413},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4320448935031891},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4193562865257263},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34812015295028687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31781795620918274},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27434566617012024},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15120863914489746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13590386509895325},{"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/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1891272442","https://openalex.org/W1970467661","https://openalex.org/W2030486566","https://openalex.org/W2031583051","https://openalex.org/W2061074721","https://openalex.org/W2066218102","https://openalex.org/W2117678320","https://openalex.org/W2144404214","https://openalex.org/W2295905273","https://openalex.org/W2342907428","https://openalex.org/W2398042854","https://openalex.org/W2400339399","https://openalex.org/W2475682732","https://openalex.org/W2489919266","https://openalex.org/W2606300880","https://openalex.org/W2702006285","https://openalex.org/W2767831780","https://openalex.org/W2885308148","https://openalex.org/W2886676508","https://openalex.org/W2890489755","https://openalex.org/W2891219041","https://openalex.org/W2891997645","https://openalex.org/W2945191446","https://openalex.org/W2973918989","https://openalex.org/W3135599609","https://openalex.org/W4249052411","https://openalex.org/W4295832084","https://openalex.org/W4316660723","https://openalex.org/W4375869372","https://openalex.org/W6740340063","https://openalex.org/W6767448423"],"related_works":["https://openalex.org/W2033329112","https://openalex.org/W2803318287","https://openalex.org/W2008532365","https://openalex.org/W4382204317","https://openalex.org/W2100915163","https://openalex.org/W4293159287","https://openalex.org/W2156549393","https://openalex.org/W2171108984","https://openalex.org/W4324116795","https://openalex.org/W2113817303"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2],"devoted":[3],"to":[4],"the":[5,29,39,47,50,56,59,67,82,85],"problem":[6],"of":[7,49,58,84],"noise":[8],"covariance":[9],"matrix":[10],"(NCM)":[11],"estimation.":[12],"It":[13],"proposes":[14],"a":[15],"time-frequency":[16],"masking":[17],"based":[18,27,45],"approach.":[19],"We":[20],"first":[21],"present":[22],"an":[23],"optimal":[24],"mask":[25],"function":[26],"on":[28,46],"mean-squared":[30],"error":[31],"criterion.":[32],"To":[33,54],"estimate":[34],"this":[35],"mask,":[36],"we":[37,63],"employ":[38],"recently":[40],"developed":[41],"directional":[42],"gain":[43],"method":[44,87],"knowledge":[48],"signal":[51],"incident":[52],"angle.":[53],"demonstrate":[55],"effectiveness":[57],"proposed":[60,86],"NCM":[61],"estimator,":[62],"integrate":[64],"it":[65],"into":[66],"minimum":[68],"variance":[69],"distortionless":[70],"response":[71],"(MVDR)":[72],"beamformer.":[73],"The":[74],"speech":[75],"enhancement":[76],"results":[77],"in":[78],"noise-plus-interference":[79],"environments":[80],"show":[81],"advantages":[83],"over":[88],"two":[89],"baseline":[90],"beamforming":[91],"algorithms.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}