{"id":"https://openalex.org/W2127178947","doi":"https://doi.org/10.1109/icassp.2011.5947273","title":"Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation","display_name":"Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2127178947","doi":"https://doi.org/10.1109/icassp.2011.5947273","mag":"2127178947"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5112005763","display_name":"Yuri I. Abramovich","orcid":null},"institutions":[{"id":"https://openalex.org/I1303474014","display_name":"Defence Science and Technology Group","ror":"https://ror.org/05ddrvt52","country_code":"AU","type":"government","lineage":["https://openalex.org/I1303474014","https://openalex.org/I2801453606","https://openalex.org/I3139952251"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuri I. Abramovich","raw_affiliation_strings":["ISR Division, DSTO Australia, Edinburgh, Australia","DSTO, ISR Division, Edinburgh, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISR Division, DSTO Australia, Edinburgh, Australia","institution_ids":["https://openalex.org/I1303474014"]},{"raw_affiliation_string":"DSTO, ISR Division, Edinburgh, Australia","institution_ids":["https://openalex.org/I1303474014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024539438","display_name":"Ben A. Johnson","orcid":"https://orcid.org/0000-0002-6653-967X"},"institutions":[{"id":"https://openalex.org/I170239107","display_name":"University of South Australia","ror":"https://ror.org/01p93h210","country_code":"AU","type":"education","lineage":["https://openalex.org/I170239107"]},{"id":"https://openalex.org/I4210102068","display_name":"Lockheed Martin (Australia)","ror":"https://ror.org/016rz1a24","country_code":"AU","type":"company","lineage":["https://openalex.org/I1287521167","https://openalex.org/I4210102068"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ben A. Johnson","raw_affiliation_strings":["Lockheed Martin Australia and ITR, UniSA, Mawson Lakes, SA, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lockheed Martin Australia and ITR, UniSA, Mawson Lakes, SA, Australia","institution_ids":["https://openalex.org/I170239107","https://openalex.org/I4210102068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.278,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.48789702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4176","last_page":"4179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9987999796867371,"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/outlier","display_name":"Outlier","score":0.6860466003417969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5180654525756836},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.46877187490463257},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46156588196754456},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4257570207118988},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.4193165600299835},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4128246307373047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39960935711860657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39378654956817627},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3599894642829895},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3218843340873718}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6860466003417969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5180654525756836},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.46877187490463257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46156588196754456},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4257570207118988},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.4193165600299835},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4128246307373047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39960935711860657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39378654956817627},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3599894642829895},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3218843340873718},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5947273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2060581589","https://openalex.org/W2105502962","https://openalex.org/W2110905912","https://openalex.org/W2116414176","https://openalex.org/W2127083166","https://openalex.org/W2130693290","https://openalex.org/W4230068440"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W2580722822","https://openalex.org/W2772305933","https://openalex.org/W1486338765","https://openalex.org/W4388843174"],"abstract_inverted_index":{"Comparative":[0],"analysis":[1],"of":[2],"the":[3],"threshold":[4],"SNR":[5],"and/or":[6],"sample":[7],"support":[8],"values":[9],"where":[10],"genuine":[11],"maximum":[12],"likelihood":[13],"DOA":[14],"estimation":[15],"starts":[16],"to":[17],"produce":[18],"\"outliers\"":[19],"is":[20],"conducted":[21],"for":[22],"unconditional":[23],"(stochastic)":[24],"and":[25,43],"conditional":[26],"(deterministic)":[27],"problem":[28],"formulations.":[29],"Theoretical":[30],"predictions":[31],"based":[32],"on":[33],"recent":[34],"results":[35],"from":[36],"Random":[37],"Matrix":[38],"Theory":[39],"(RMT)":[40],"are":[41],"provided":[42],"sup":[44],"ported":[45],"by":[46],"simulation":[47],"results.":[48]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}