{"id":"https://openalex.org/W2156349239","doi":"https://doi.org/10.1109/icassp.2005.1415695","title":"D.O.A. Estimation With Singular Noise Correlation Matrix","display_name":"D.O.A. Estimation With Singular Noise Correlation Matrix","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2156349239","doi":"https://doi.org/10.1109/icassp.2005.1415695","mag":"2156349239"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5105269463","display_name":"Akira Tanaka","orcid":"https://orcid.org/0000-0003-0055-8234"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"A. Tanaka","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060354017","display_name":"Masaaki Miyakoshi","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Miyakoshi","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105269463"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20466089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"257","last_page":"260"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"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":0.9968000054359436,"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/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6464883089065552},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6158807277679443},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5881397128105164},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.5748618841171265},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5586566925048828},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5467218160629272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5171777009963989},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.5169881582260132},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4898650348186493},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.47237446904182434},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4567623436450958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41758155822753906},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39937624335289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38815999031066895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23341447114944458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18993791937828064},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12896642088890076},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11072289943695068},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06499713659286499}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6464883089065552},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6158807277679443},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5881397128105164},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.5748618841171265},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5586566925048828},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5467218160629272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5171777009963989},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.5169881582260132},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4898650348186493},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47237446904182434},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4567623436450958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41758155822753906},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39937624335289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38815999031066895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23341447114944458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18993791937828064},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12896642088890076},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11072289943695068},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06499713659286499},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1415695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2113638573","https://openalex.org/W2128131274","https://openalex.org/W2147243899","https://openalex.org/W4240369198"],"related_works":["https://openalex.org/W4319586039","https://openalex.org/W4382583540","https://openalex.org/W1607100495","https://openalex.org/W1990844505","https://openalex.org/W2148568324","https://openalex.org/W4386721910","https://openalex.org/W4378770618","https://openalex.org/W2164147222","https://openalex.org/W2113096693","https://openalex.org/W2101754154"],"abstract_inverted_index":{"In":[0,23],"this":[1,89],"paper,":[2],"a":[3,33],"new":[4],"method":[5],"of":[6,8,27,47,52,58,88,95,100,105,111,115,125],"direction":[7],"arrival":[9],"(D.O.A.)":[10],"estimation":[11],"with":[12,107],"environmental":[13],"noise,":[14],"whose":[15],"spatial":[16,49,62,80,102],"correlation":[17,50,63,81,103],"matrix":[18,51,104],"is":[19,21],"singular,":[20],"proposed.":[22],"D.O.A.":[24],"estimation,":[25],"identification":[26,38,94],"signal":[28],"and":[29,97],"noise":[30,106],"subspaces":[31],"plays":[32],"very":[34],"important":[35],"role.":[36],"The":[37,85,113],"process":[39],"can":[40],"be":[41,72],"achieved":[42],"by":[43],"(generalized)":[44],"eigenvalue":[45],"decomposition":[46],"the":[48,75,79,101,123,126],"observations":[53],"(with":[54],"respect":[55,108],"to":[56,74,109,121],"that":[57,110],"noise),":[59],"if":[60],"these":[61,68],"matrices":[64,82],"are":[65,83,118],"non-singular.":[66],"However,":[67],"mathematical":[69],"tools":[70],"cannot":[71],"applied":[73],"problems":[76],"in":[77],"which":[78],"singular.":[84],"main":[86],"idea":[87],"work":[90],"deeply":[91],"depends":[92],"on":[93],"proper":[96],"improper":[98],"eigenvectors":[99],"observations.":[112],"results":[114],"computer":[116],"simulations":[117],"also":[119],"presented":[120],"verify":[122],"efficacy":[124],"proposed":[127],"method.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
