{"id":"https://openalex.org/W1557123323","doi":"https://doi.org/10.1109/icassp.2015.7178421","title":"SINR loss of the dominant mode rejection beamformer","display_name":"SINR loss of the dominant mode rejection beamformer","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1557123323","doi":"https://doi.org/10.1109/icassp.2015.7178421","mag":"1557123323"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/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":["George Mason University Electrical & Computer Engineering Dept., Fairfax, VA","George Mason University, Electrical and Computer Engineering Dept., Fairfax, VA 22030, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University Electrical & Computer Engineering Dept., Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"George Mason University, Electrical and Computer Engineering Dept., Fairfax, VA 22030, 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":["University of Massachusetts Dartmouth Electrical & Computer Engineering Dept., Dartmouth, MA","University of Massachusetts Dartmouth, Electrical & Computer Engineering Dept., 02747, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Dartmouth Electrical & Computer Engineering Dept., Dartmouth, MA","institution_ids":["https://openalex.org/I100633361"]},{"raw_affiliation_string":"University of Massachusetts Dartmouth, Electrical & Computer Engineering Dept., 02747, 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":6.4204,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97239977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2499","last_page":"2503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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":0.9994999766349792,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal-to-interference-plus-noise-ratio","display_name":"Signal-to-interference-plus-noise ratio","score":0.629909098148346},{"id":"https://openalex.org/keywords/random-matrix","display_name":"Random matrix","score":0.60914546251297},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5918170213699341},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.564091682434082},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5120337605476379},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4857969284057617},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4692801237106323},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4652097821235657},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4643099308013916},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46096110343933105},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.45893025398254395},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.441683828830719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43564122915267944},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41763561964035034},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.41395506262779236},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3981049954891205},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.277787983417511},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16807341575622559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10260215401649475}],"concepts":[{"id":"https://openalex.org/C98824394","wikidata":"https://www.wikidata.org/wiki/Q4035626","display_name":"Signal-to-interference-plus-noise ratio","level":3,"score":0.629909098148346},{"id":"https://openalex.org/C64812099","wikidata":"https://www.wikidata.org/wiki/Q176604","display_name":"Random matrix","level":3,"score":0.60914546251297},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5918170213699341},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.564091682434082},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5120337605476379},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4857969284057617},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4692801237106323},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4652097821235657},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4643099308013916},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46096110343933105},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.45893025398254395},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.441683828830719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43564122915267944},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41763561964035034},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.41395506262779236},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3981049954891205},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.277787983417511},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16807341575622559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10260215401649475},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W93530381","https://openalex.org/W1515907226","https://openalex.org/W1568713666","https://openalex.org/W1667165204","https://openalex.org/W1972672244","https://openalex.org/W1994248392","https://openalex.org/W2013438974","https://openalex.org/W2017697648","https://openalex.org/W2046245205","https://openalex.org/W2057197276","https://openalex.org/W2066218102","https://openalex.org/W2068920425","https://openalex.org/W2078930144","https://openalex.org/W2099551908","https://openalex.org/W2100375013","https://openalex.org/W2103049885","https://openalex.org/W2105526347","https://openalex.org/W2132657058","https://openalex.org/W2145801053","https://openalex.org/W2146770870","https://openalex.org/W2155421090","https://openalex.org/W3105364218","https://openalex.org/W3150910419","https://openalex.org/W6603787252"],"related_works":["https://openalex.org/W4293088233","https://openalex.org/W3152660226","https://openalex.org/W2496077116","https://openalex.org/W2900695351","https://openalex.org/W1986523067","https://openalex.org/W3082212156","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W2906922779"],"abstract_inverted_index":{"The":[0],"signal":[1],"to":[2,12,31,87],"interference":[3],"and":[4,57],"noise":[5],"ratio":[6],"(SINR)":[7],"characterizes":[8],"a":[9,24,35,75],"beamformer's":[10],"ability":[11],"attenuate":[13],"unwanted":[14],"signals.":[15],"SINR":[16,46,92],"loss":[17,47,93],"quantifies":[18],"how":[19],"close":[20],"the":[21,32,45,49,72,80,95,100],"performance":[22,33,90],"of":[23,34,48],"beamformer":[25,36,54],"designed":[26,37],"with":[27,38,99],"sample":[28,81],"statistics":[29],"is":[30,55],"ensemble":[39],"statistics.":[40],"This":[41],"paper":[42,73],"conjectures":[43],"that":[44],"dominant":[50],"mode":[51],"rejection":[52],"(DMR)":[53],"beta-distributed":[56],"provides":[58],"substantial":[59],"numerical":[60],"evidence":[61],"supporting":[62],"this":[63],"claim.":[64],"Building":[65],"on":[66],"results":[67],"from":[68],"random":[69],"matrix":[70],"theory,":[71],"proposes":[74],"simple":[76],"perturbative":[77],"model":[78,97],"for":[79,94],"covariance":[82],"eigenvectors,":[83],"which":[84],"are":[85],"known":[86],"control":[88],"DMR":[89],"[1].":[91],"proposed":[96],"agrees":[98],"beta":[101],"distribution":[102],"conjecture.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}