{"id":"https://openalex.org/W2168760384","doi":"https://doi.org/10.1109/apccas.2008.4746190","title":"Recursive robust variable loading mvdr beamforming in impulsive noise environment","display_name":"Recursive robust variable loading mvdr beamforming in impulsive noise environment","publication_year":2008,"publication_date":"2008-11-01","ids":{"openalex":"https://openalex.org/W2168760384","doi":"https://doi.org/10.1109/apccas.2008.4746190","mag":"2168760384"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2008.4746190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5097363743","display_name":"Zou Y. X.","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zou Y. X.","raw_affiliation_strings":["Advanced Digital Signal Processing Laboratory, Shenzhen Graduate School of Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Digital Signal Processing Laboratory, Shenzhen Graduate School of Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097363744","display_name":"Chan S.C.","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chan S.C.","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089023960","display_name":"Bo Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wan","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069337034","display_name":"Zhao Jing","orcid":"https://orcid.org/0000-0002-4745-0506"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhao","raw_affiliation_strings":["Peking University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6329,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66524195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"47","issue":null,"first_page":"988","last_page":"991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9994000196456909,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291811466217041},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.6103938221931458},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.6084311604499817},{"id":"https://openalex.org/keywords/sample-matrix-inversion","display_name":"Sample matrix inversion","score":0.6031901836395264},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6010896563529968},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5785349011421204},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5732172131538391},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5545053482055664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5351880788803101},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5260284543037415},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.45755258202552795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.233233243227005},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.225318044424057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11617088317871094},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.10297778248786926},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09252965450286865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291811466217041},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.6103938221931458},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.6084311604499817},{"id":"https://openalex.org/C62403268","wikidata":"https://www.wikidata.org/wiki/Q7410141","display_name":"Sample matrix inversion","level":3,"score":0.6031901836395264},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6010896563529968},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5785349011421204},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5732172131538391},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5545053482055664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5351880788803101},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5260284543037415},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.45755258202552795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.233233243227005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.225318044424057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11617088317871094},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.10297778248786926},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09252965450286865},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apccas.2008.4746190","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2008.4746190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/158577","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/158577","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W653761051","https://openalex.org/W1492221128","https://openalex.org/W1622825395","https://openalex.org/W2012712694","https://openalex.org/W2105920036","https://openalex.org/W2142652110","https://openalex.org/W2144799407","https://openalex.org/W2150709895","https://openalex.org/W2152987686","https://openalex.org/W2475682732","https://openalex.org/W2489822048","https://openalex.org/W3157306318","https://openalex.org/W6682559548"],"related_works":["https://openalex.org/W2033329112","https://openalex.org/W2803318287","https://openalex.org/W2057077708","https://openalex.org/W2161781654","https://openalex.org/W2612173708","https://openalex.org/W2134305607","https://openalex.org/W2156549393","https://openalex.org/W2171108984","https://openalex.org/W2095707550","https://openalex.org/W2597051069"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,38],"new":[4,24,39],"recursive":[5],"variable":[6,68],"loading":[7,45,69],"minimum":[8],"variance":[9],"distortionless":[10],"response":[11],"(RVL-MVDR)":[12],"algorithm":[13,56],"for":[14,26,41],"robust":[15,27,48],"beamforming":[16],"in":[17,73],"impulsive":[18,35,74],"noise":[19,36,75],"environment.":[20,76],"It":[21],"employs":[22],"method":[25,40],"estimation":[28],"of":[29],"the":[30,43,54,61],"sample":[31,63],"covariance":[32],"matrix":[33,64],"under":[34],"and":[37,67],"computing":[42],"data-dependent":[44],"level":[46],"using":[47],"statistics.":[49],"Computer":[50],"simulations":[51],"suggest":[52],"that":[53],"proposed":[55],"performs":[57],"considerably":[58],"better":[59],"than":[60],"conventional":[62],"inversion":[65],"(SMI)-MVDR":[66],"(VL)":[70],"MVDR":[71],"algorithms":[72]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2016-06-24T00:00:00"}