{"id":"https://openalex.org/W2153967266","doi":"https://doi.org/10.1109/tsp.2011.2162951","title":"On Testing the Extent of Noncircularity","display_name":"On Testing the Extent of Noncircularity","publication_year":2011,"publication_date":"2011-08-03","ids":{"openalex":"https://openalex.org/W2153967266","doi":"https://doi.org/10.1109/tsp.2011.2162951","mag":"2153967266"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2011.2162951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2162951","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5087810759","display_name":"M. Novey","orcid":null},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mike Novey","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031785324","display_name":"Esa Ollila","orcid":"https://orcid.org/0000-0002-0898-5313"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Ollila","raw_affiliation_strings":["Department of Mathematical Sciences, University of Oulu, Oulu, Finland","Department of Signal Processing and Acoustics, SMARAD CoE, Aalto University School of Science and Technology, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]},{"raw_affiliation_string":"Department of Signal Processing and Acoustics, SMARAD CoE, Aalto University School of Science and Technology, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"T\u00fclay Adali","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087810759"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":null,"apc_paid":null,"fwci":0.9359,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"59","issue":"11","first_page":"5632","last_page":"5637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation 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/T11447","display_name":"Blind Source Separation 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":0.9945999979972839,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9939000010490417,"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/detector","display_name":"Detector","score":0.7695207595825195},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.6982377767562866},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.579042911529541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5699610710144043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5218192934989929},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5165735483169556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.504775881767273},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4703181982040405},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4479323923587799},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4421060085296631},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.43010786175727844},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.41796407103538513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3930491805076599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3242132365703583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2835422456264496},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12476921081542969}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7695207595825195},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.6982377767562866},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.579042911529541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5699610710144043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5218192934989929},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5165735483169556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.504775881767273},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4703181982040405},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4479323923587799},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4421060085296631},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.43010786175727844},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.41796407103538513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3930491805076599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3242132365703583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2835422456264496},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12476921081542969},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2011.2162951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2011.2162951","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.310.2430","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.310.2430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.csee.umbc.edu/~adali/pubs/IEEEpubs/TSP2011novey.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1525535255","https://openalex.org/W1877665914","https://openalex.org/W1965392255","https://openalex.org/W1976089490","https://openalex.org/W2010961394","https://openalex.org/W2025341678","https://openalex.org/W2028002800","https://openalex.org/W2054658115","https://openalex.org/W2063698478","https://openalex.org/W2067489830","https://openalex.org/W2078585350","https://openalex.org/W2096710051","https://openalex.org/W2098918476","https://openalex.org/W2105693363","https://openalex.org/W2106219595","https://openalex.org/W2113257416","https://openalex.org/W2113731372","https://openalex.org/W2118492265","https://openalex.org/W2120953602","https://openalex.org/W2123827510","https://openalex.org/W2124757684","https://openalex.org/W2127421076","https://openalex.org/W2134609006","https://openalex.org/W2139936226","https://openalex.org/W2143646747","https://openalex.org/W2151578612","https://openalex.org/W2152819669","https://openalex.org/W2153999007","https://openalex.org/W2156105064","https://openalex.org/W2160423093","https://openalex.org/W2166288622","https://openalex.org/W2294288691","https://openalex.org/W2540440284","https://openalex.org/W2544829973","https://openalex.org/W2610857016","https://openalex.org/W3100792434","https://openalex.org/W4213099427","https://openalex.org/W4237723258","https://openalex.org/W6675835146","https://openalex.org/W6728931310"],"related_works":["https://openalex.org/W2349411638","https://openalex.org/W2408444874","https://openalex.org/W2015465174","https://openalex.org/W1966599233","https://openalex.org/W2388242297","https://openalex.org/W2155293550","https://openalex.org/W2138552207","https://openalex.org/W2542257450","https://openalex.org/W1968998224","https://openalex.org/W2385308768"],"abstract_inverted_index":{"In":[0],"this":[1],"correspondence,":[2],"we":[3,48],"provide":[4],"a":[5,18,53,56,70,102,123],"multiple":[6,44],"hypothesis":[7,45],"test":[8,34,62],"to":[9,41,51,66,92,101,122],"detect":[10],"the":[11,27,43,85,94,97,106,115],"number":[12],"of":[13,29,59,96,114],"latent":[14,82],"noncircular":[15],"signals":[16,83],"in":[17,84],"complex":[19,72],"Gaussian":[20],"random":[21],"vector.":[22],"Our":[23],"method":[24],"sequentially":[25],"tests":[26],"results":[28],"individual":[30],"generalized":[31],"likelihood":[32],"ratio":[33],"(GLRT)":[35],"statistics":[36],"with":[37],"known":[38],"asymptotic":[39],"distributions":[40],"form":[42],"detector.":[46],"Specifically,":[47],"are":[49,87,90],"able":[50],"set":[52],"threshold":[54],"yielding":[55],"precise":[57],"probability":[58],"error.":[60],"This":[61],"can":[63],"be":[64],"used":[65,91],"statistically":[67],"determine":[68],"if":[69,78],"given":[71],"observation":[73,86],"is":[74,117],"circular":[75],"Gaussian,":[76],"and":[77],"not,":[79],"how":[80],"many":[81],"noncircular.":[88],"Simulations":[89],"quantify":[93],"performance":[95],"detector":[98,103,116],"as":[99],"compared":[100],"based":[104],"on":[105],"minimum":[107],"description":[108],"length":[109],"(MDL)":[110],"criterion.":[111],"The":[112],"utility":[113],"shown":[118],"by":[119],"applying":[120],"it":[121],"beamforming":[124],"application":[125],"using":[126],"independent":[127],"component":[128],"analysis":[129],"(ICA).":[130]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
