{"id":"https://openalex.org/W1516994152","doi":"https://doi.org/10.1109/cdc.2002.1184236","title":"Statistical analysis of state-covariance subspace-estimation methods","display_name":"Statistical analysis of state-covariance subspace-estimation methods","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W1516994152","doi":"https://doi.org/10.1109/cdc.2002.1184236","mag":"1516994152"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2002.1184236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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/A5041650263","display_name":"Arash Amini","orcid":"https://orcid.org/0000-0002-3713-8674"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A.N. Amini","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035194316","display_name":"Tryphon T. Georgiou","orcid":"https://orcid.org/0000-0003-0012-5447"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T.T. Georgiou","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5041650263"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.8785,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7249688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2633","last_page":"2638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":1.0,"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":1.0,"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":0.9987000226974487,"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/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.6869410872459412},{"id":"https://openalex.org/keywords/toeplitz-matrix","display_name":"Toeplitz matrix","score":0.6731568574905396},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5955531597137451},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5597648024559021},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5560978055000305},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5498485565185547},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.525798499584198},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5248194336891174},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4696862995624542},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4633185863494873},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43831580877304077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4350185990333557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40558069944381714},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40372341871261597},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26439085602760315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22126784920692444},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.1385844349861145},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11305630207061768},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.09056282043457031}],"concepts":[{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.6869410872459412},{"id":"https://openalex.org/C147710293","wikidata":"https://www.wikidata.org/wiki/Q849428","display_name":"Toeplitz matrix","level":2,"score":0.6731568574905396},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5955531597137451},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5597648024559021},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5560978055000305},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5498485565185547},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.525798499584198},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5248194336891174},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4696862995624542},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4633185863494873},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43831580877304077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4350185990333557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40558069944381714},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40372341871261597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26439085602760315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22126784920692444},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.1385844349861145},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11305630207061768},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.09056282043457031},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2002.1184236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2002.1184236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 41st IEEE Conference on Decision and Control, 2002.","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":12,"referenced_works":["https://openalex.org/W83404773","https://openalex.org/W658559791","https://openalex.org/W1514558801","https://openalex.org/W1575147392","https://openalex.org/W2032123328","https://openalex.org/W2095691093","https://openalex.org/W2137507407","https://openalex.org/W2166764037","https://openalex.org/W2170060163","https://openalex.org/W2991769464","https://openalex.org/W3141607091","https://openalex.org/W4299150230"],"related_works":["https://openalex.org/W2353873167","https://openalex.org/W2170667396","https://openalex.org/W1823462200","https://openalex.org/W2117760611","https://openalex.org/W2162716418","https://openalex.org/W2348747160","https://openalex.org/W2115649240","https://openalex.org/W4328007667","https://openalex.org/W2501242162","https://openalex.org/W2367907509"],"abstract_inverted_index":{"We":[0,58],"present":[1],"a":[2],"statistical":[3],"analysis":[4],"of":[5,11,22,29,37,39,46,63,88],"subspace-based":[6],"methods":[7,21,28],"for":[8,85],"the":[9,18,61,66,86,89],"retrieval":[10],"sinusoids.":[12],"The":[13],"formalism":[14],"described":[15],"previously":[16],"encompasses":[17],"modern":[19],"nonlinear":[20],"MUSIC":[23],"and":[24,26,56,78,94],"ESPRIT":[25],"yields":[27],"even":[30],"higher":[31],"resolution.":[32],"These":[33],"rely":[34],"on":[35,60],"eigendecomposition":[36,45],"state-covariances":[38],"linear":[40],"systems,":[41],"as":[42],"opposed":[43],"to":[44,70],"Toeplitz":[47],"matrices":[48],"(originating":[49],"from":[50,74],"antenna":[51],"arrays":[52],"or":[53],"tapped":[54],"delay-lines":[55],"treated).":[57],"focus":[59],"variability":[62],"estimates":[64],"when":[65],"theory":[67],"is":[68],"applied":[69],"sampled":[71],"covariances":[72],"obtained":[73],"finite":[75],"observation":[76],"records,":[77],"in":[79],"particular,":[80],"we":[81],"provide":[82],"an":[83],"expression":[84],"variance":[87],"angle":[90],"operator":[91],"between":[92],"estimated":[93],"exact":[95],"signal":[96],"subspaces.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}