{"id":"https://openalex.org/W3097063588","doi":"https://doi.org/10.1109/taslp.2020.3031376","title":"On Estimation of Time-Varying Variances of Source and Noise for Sensor Array Processing","display_name":"On Estimation of Time-Varying Variances of Source and Noise for Sensor Array Processing","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097063588","doi":"https://doi.org/10.1109/taslp.2020.3031376","mag":"3097063588"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2020.3031376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3031376","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/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"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":["Center of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China","Optoelectronic Imaging and Brain-inspired Perception Laboratory, School of Artificial Intelligence, Xidian University, Xi\u2019an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-1214-041X","affiliations":[{"raw_affiliation_string":"Center of Intelligent Acoustics and Immersive Communications, School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Optoelectronic Imaging and Brain-inspired Perception Laboratory, School of Artificial Intelligence, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"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":["Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0083-9247","affiliations":[{"raw_affiliation_string":"Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101549504","display_name":"Guangming Shi","orcid":"https://orcid.org/0000-0003-2179-3292"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Shi","raw_affiliation_strings":["Optoelectronic Imaging and Brain-inspired Perception Laboratory, School of Artificial Intelligence, Xidian University, Xi\u2019an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2179-3292","affiliations":[{"raw_affiliation_string":"Optoelectronic Imaging and Brain-inspired Perception Laboratory, School of Artificial Intelligence, Xidian University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.297,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.54822198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":null,"first_page":"2865","last_page":"2879"},"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":0.9991000294685364,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9980999827384949,"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/estimator","display_name":"Estimator","score":0.753943920135498},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6425216197967529},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6032251119613647},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5972037315368652},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.5495339035987854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5223090052604675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5018270015716553},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4402419924736023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.418249249458313},{"id":"https://openalex.org/keywords/sensor-array","display_name":"Sensor array","score":0.41724878549575806},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41687268018722534},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4164714515209198},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.4107874631881714},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31057432293891907},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22844749689102173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1866791844367981}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.753943920135498},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6425216197967529},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6032251119613647},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5972037315368652},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.5495339035987854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5223090052604675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5018270015716553},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4402419924736023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.418249249458313},{"id":"https://openalex.org/C66251956","wikidata":"https://www.wikidata.org/wiki/Q7451086","display_name":"Sensor array","level":2,"score":0.41724878549575806},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41687268018722534},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4164714515209198},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.4107874631881714},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31057432293891907},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22844749689102173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1866791844367981},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2020.3031376","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.3031376","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W167456299","https://openalex.org/W258661521","https://openalex.org/W330298975","https://openalex.org/W1561065572","https://openalex.org/W1847248158","https://openalex.org/W1891272442","https://openalex.org/W1971846076","https://openalex.org/W2005602327","https://openalex.org/W2030486566","https://openalex.org/W2031583051","https://openalex.org/W2049633694","https://openalex.org/W2061074721","https://openalex.org/W2062289269","https://openalex.org/W2065296125","https://openalex.org/W2067584370","https://openalex.org/W2094287371","https://openalex.org/W2113131123","https://openalex.org/W2113168978","https://openalex.org/W2117678320","https://openalex.org/W2118354544","https://openalex.org/W2126942983","https://openalex.org/W2127292597","https://openalex.org/W2135346934","https://openalex.org/W2143027228","https://openalex.org/W2146324387","https://openalex.org/W2163101527","https://openalex.org/W2166547995","https://openalex.org/W2259656359","https://openalex.org/W2475682732","https://openalex.org/W2568428461","https://openalex.org/W2586584460","https://openalex.org/W2595142274","https://openalex.org/W2903083210","https://openalex.org/W2938386503","https://openalex.org/W2962866211","https://openalex.org/W3124056356","https://openalex.org/W3147528989","https://openalex.org/W3217047761","https://openalex.org/W4210849719","https://openalex.org/W4250589301","https://openalex.org/W4255455116","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W2033329112","https://openalex.org/W2803318287","https://openalex.org/W3206156900","https://openalex.org/W1989454727","https://openalex.org/W2407680366","https://openalex.org/W2022538999","https://openalex.org/W1955763106","https://openalex.org/W2002243964","https://openalex.org/W3090086172","https://openalex.org/W4375869276"],"abstract_inverted_index":{"Estimation":[0],"of":[1,4,49,53,75,89,126,159],"time-varying":[2,47,124],"variances":[3,48,125],"signals":[5],"for":[6,44,106],"beamforming":[7],"in":[8,39,157,161],"sensor":[9],"arrays":[10],"is":[11,85,99,103,134],"a":[12,31,86],"challenging":[13],"problem.":[14],"Based":[15],"on":[16],"the":[17,20,25,46,50,56,67,76,81,96,113,117,123,128,138,142,147,151,163,168],"assumption":[18],"that":[19,116,137],"array":[21],"manifold":[22],"vector":[23],"and":[24,55,94,101,112,130,167],"noise":[26,77,82,131],"pseudo-coherence":[27,78,83,92],"matrix":[28,79,84],"are":[29,34,61,72,110],"known":[30],"priori":[32],"or":[33,80],"well":[35,121],"estimated,":[36],"we":[37],"present":[38],"this":[40],"paper":[41],"two":[42,59],"estimators":[43,60,119,149],"estimating":[45],"source":[51],"signal":[52],"interest":[54],"noise.":[57],"These":[58],"then":[62],"extended":[63],"to":[64],"deal":[65],"with":[66,146],"following":[68],"situations:":[69],"1)":[70],"there":[71],"multiple":[73],"candidates":[74],"linear":[87],"combination":[88],"some":[90],"base":[91],"matrices,":[93],"2)":[95],"estimation":[97],"variance":[98,143],"large":[100],"smoothing":[102],"needed.":[104],"Simulations":[105],"speech":[107,129],"enhancement":[108],"applications":[109],"performed":[111],"results":[114],"show":[115],"proposed":[118],"can":[120],"track":[122],"both":[127,162],"signals.":[132],"It":[133],"also":[135],"demonstrated":[136],"optimal":[139,155],"beamformer":[140],"using":[141],"parameters":[144],"estimated":[145],"presented":[148],"outperforms":[150],"widely":[152],"used":[153],"traditional":[154],"beamformers":[156],"terms":[158],"improvement":[160],"signal-to-noise":[164],"ratio":[165],"(SNR)":[166],"log-spectral":[169],"distortion":[170],"(LSD).":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
