{"id":"https://openalex.org/W1994248392","doi":"https://doi.org/10.1109/icassp.2013.6638368","title":"Convergence rate of the dominant mode rejection beamformer for a single interferer","display_name":"Convergence rate of the dominant mode rejection beamformer for a single interferer","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1994248392","doi":"https://doi.org/10.1109/icassp.2013.6638368","mag":"1994248392"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6638368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5040405628","display_name":"Kathleen E. Wage","orcid":"https://orcid.org/0000-0002-3412-1885"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathleen E. Wage","raw_affiliation_strings":["Electrical & Computer Engineering Department, George Mason University, Fairfax, VA, USA","Electr. & Comput. Eng. Dept., George Mason Univ., Fairfax, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept., George Mason Univ., Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013892052","display_name":"John R. Buck","orcid":"https://orcid.org/0000-0002-2809-8164"},"institutions":[{"id":"https://openalex.org/I100633361","display_name":"University of Massachusetts Dartmouth","ror":"https://ror.org/00fzmm222","country_code":"US","type":"education","lineage":["https://openalex.org/I100633361"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John R. Buck","raw_affiliation_strings":["Electrical & Computer Engineering Department, University of Massachusetts, Dartmouth, Dartmouth, MA, USA","Electr. & Comput. Eng. Dept, Univ. of Massachusetts Dartmouth, North Dartmouth, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, University of Massachusetts, Dartmouth, Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept, Univ. of Massachusetts Dartmouth, North Dartmouth, MA, USA","institution_ids":["https://openalex.org/I100633361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6442,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67124711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"3796","last_page":"3800"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998000264167786,"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/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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":0.9987999796867371,"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/covariance-matrix","display_name":"Covariance matrix","score":0.7236548066139221},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6002764701843262},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5630274415016174},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5569665431976318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5168176889419556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4810631275177002},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.46075186133384705},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.45735636353492737},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.44859540462493896},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.43892961740493774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4324846863746643},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3546495735645294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3493853211402893},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3436768054962158},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.3129006028175354},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0970582365989685},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06400954723358154}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7236548066139221},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6002764701843262},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5630274415016174},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5569665431976318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5168176889419556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4810631275177002},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.46075186133384705},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.45735636353492737},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.44859540462493896},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.43892961740493774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4324846863746643},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3546495735645294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3493853211402893},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3436768054962158},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.3129006028175354},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0970582365989685},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06400954723358154},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6638368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6638368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W93530381","https://openalex.org/W653761051","https://openalex.org/W1515907226","https://openalex.org/W1972672244","https://openalex.org/W2005882741","https://openalex.org/W2013438974","https://openalex.org/W2057197276","https://openalex.org/W2066218102","https://openalex.org/W2078930144","https://openalex.org/W2096710051","https://openalex.org/W2099551908","https://openalex.org/W2103049885","https://openalex.org/W2132657058","https://openalex.org/W2134878161","https://openalex.org/W2145801053","https://openalex.org/W2146770870","https://openalex.org/W2148113844","https://openalex.org/W2155421090","https://openalex.org/W3105364218","https://openalex.org/W6603787252","https://openalex.org/W6631105370"],"related_works":["https://openalex.org/W2117760611","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W2005921625","https://openalex.org/W2156673141","https://openalex.org/W2106353646","https://openalex.org/W2000234803","https://openalex.org/W2599974934","https://openalex.org/W2909890640"],"abstract_inverted_index":{"The":[0],"dominant":[1],"mode":[2],"rejection":[3],"(DMR)":[4],"adaptive":[5],"beamformer":[6],"(ABF)":[7],"is":[8],"a":[9,23,49],"reduced-rank":[10],"version":[11],"of":[12,26,34,55,70,82,90,108],"the":[13,27,35,52,56,60,68,76,80,83,88,91,95,99,106],"standard":[14],"minimum":[15],"variance":[16],"distortionless":[17],"response":[18],"(MVDR)":[19],"ABF.":[20],"DMR":[21,57,84],"uses":[22],"structured":[24],"estimate":[25],"covariance":[28,37],"matrix":[29,45],"derived":[30],"from":[31,43],"an":[32],"eigendecomposition":[33],"sample":[36],"matrix.":[38],"This":[39],"paper":[40],"exploits":[41],"results":[42],"random":[44],"theory":[46],"to":[47,87],"fit":[48],"distribution":[50],"for":[51],"SINR":[53,73,101],"loss":[54,74,102],"ABF":[58,85],"in":[59],"single":[61,96],"interferer":[62,97],"case.":[63],"Monte":[64],"Carlo":[65],"simulations":[66],"confirm":[67],"accuracy":[69],"these":[71],"expressions.":[72],"quantifies":[75],"rate":[77],"at":[78],"which":[79],"performance":[81,89],"converges":[86],"optimal":[92],"processor.":[93],"For":[94],"case,":[98],"mean":[100],"only":[103],"depends":[104],"on":[105],"number":[107],"snapshots.":[109]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
