{"id":"https://openalex.org/W2069767403","doi":"https://doi.org/10.1109/tsp.2014.2333551","title":"Likelihood Estimators for Dependent Samples and Their Application to Order Detection","display_name":"Likelihood Estimators for Dependent Samples and Their Application to Order Detection","publication_year":2014,"publication_date":"2014-06-27","ids":{"openalex":"https://openalex.org/W2069767403","doi":"https://doi.org/10.1109/tsp.2014.2333551","mag":"2069767403"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2014.2333551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2333551","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/A5103070417","display_name":"Geng-Shen Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"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":"Geng-Shen Fu","raw_affiliation_strings":["Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079027478","display_name":"Matthew Anderson","orcid":"https://orcid.org/0000-0001-8747-1187"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"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":"Matthew Anderson","raw_affiliation_strings":["Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111976266","display_name":"T\u00fclay Adal\u0131","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"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 Adal\u0131","raw_affiliation_strings":["Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baltimore County, Dept. of CSEE, University of Maryland, Baltimore, 21250","institution_ids":["https://openalex.org/I79272384"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.75255437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"62","issue":"16","first_page":"4237","last_page":"4244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation 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/T11447","display_name":"Blind Source Separation 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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","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/T10860","display_name":"Speech and Audio Processing","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/estimator","display_name":"Estimator","score":0.7478517889976501},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7173532843589783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5639010071754456},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5451970100402832},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.5146709084510803},{"id":"https://openalex.org/keywords/order-statistic","display_name":"Order statistic","score":0.4837241470813751},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.46452224254608154},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.45932480692863464},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.45768964290618896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4431264102458954},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4428953230381012},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4360291063785553},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41128867864608765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3478040397167206},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3468204140663147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2813855707645416},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2187836468219757},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.0878501832485199}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7478517889976501},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7173532843589783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5639010071754456},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5451970100402832},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.5146709084510803},{"id":"https://openalex.org/C44082924","wikidata":"https://www.wikidata.org/wiki/Q1767128","display_name":"Order statistic","level":2,"score":0.4837241470813751},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.46452224254608154},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.45932480692863464},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45768964290618896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4431264102458954},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4428953230381012},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4360291063785553},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41128867864608765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3478040397167206},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3468204140663147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2813855707645416},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2187836468219757},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.0878501832485199},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/tsp.2014.2333551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2333551","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2023095826","https://openalex.org/W2030703096","https://openalex.org/W2054658115","https://openalex.org/W2058815839","https://openalex.org/W2082207932","https://openalex.org/W2096710051","https://openalex.org/W2097283452","https://openalex.org/W2099111195","https://openalex.org/W2115874509","https://openalex.org/W2144382539","https://openalex.org/W2162057351","https://openalex.org/W2168175751","https://openalex.org/W2592023122","https://openalex.org/W4235092540","https://openalex.org/W4240372278","https://openalex.org/W4252386822"],"related_works":["https://openalex.org/W2949367883","https://openalex.org/W2111127897","https://openalex.org/W4300987034","https://openalex.org/W184958470","https://openalex.org/W1989542571","https://openalex.org/W2807884881","https://openalex.org/W1998161566","https://openalex.org/W1980786382","https://openalex.org/W2769111102","https://openalex.org/W2092277980"],"abstract_inverted_index":{"Estimation":[0],"of":[1,4,13,86,142],"the":[2,5,14,30,33,45,55,61,76,84,87,116,139,143],"dimension":[3],"signal":[6,19,104,110],"subspace,":[7],"or":[8],"order":[9,31,67,88,130],"detection,":[10],"is":[11,79,112],"one":[12],"key":[15],"issues":[16],"in":[17,42,83,122],"many":[18,43],"processing":[20],"problems.":[21],"Information":[22],"theoretic":[23,125],"criteria":[24],"are":[25],"widely":[26],"used":[27,121],"to":[28,127],"estimate":[29],"under":[32],"independently":[34],"and":[35,120],"identically":[36],"distributed":[37],"(i.i.d.)":[38],"sampling":[39,47],"assumption.":[40],"However,":[41],"applications,":[44],"i.i.d.":[46],"assumption":[48],"does":[49],"not":[50],"hold.":[51],"Previous":[52],"approaches":[53],"address":[54],"dependent":[56,99,134],"sample":[57,77],"issue":[58],"by":[59],"downsampling":[60],"data":[62,118],"set":[63,119],"so":[64],"that":[65],"existing":[66],"detection":[68],"methods":[69],"can":[70],"be":[71],"used.":[72],"By":[73],"discarding":[74],"data,":[75],"size":[78],"decreased":[80],"causing":[81],"degradation":[82],"accuracy":[85],"estimation.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"introduce":[94],"two":[95,103],"likelihood":[96,107],"estimators":[97],"for":[98,108,133],"samples":[100],"based":[101,114],"on":[102,115],"models.":[105],"The":[106],"each":[109],"model":[111],"developed":[113],"entire":[117],"an":[123],"information":[124],"framework":[126],"achieve":[128],"reliable":[129],"estimation":[131],"performance":[132,141],"samples.":[135],"Experimental":[136],"results":[137],"show":[138],"desirable":[140],"new":[144],"method.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}