{"id":"https://openalex.org/W2509805703","doi":"https://doi.org/10.1080/03610918.2015.1056352","title":"Simultaneous estimation of number of signals and signal parameters of superimposed sinusoidal model: A robust sequential bivariate M-periodogram approach","display_name":"Simultaneous estimation of number of signals and signal parameters of superimposed sinusoidal model: A robust sequential bivariate M-periodogram approach","publication_year":2015,"publication_date":"2015-06-30","ids":{"openalex":"https://openalex.org/W2509805703","doi":"https://doi.org/10.1080/03610918.2015.1056352","mag":"2509805703"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1056352","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1056352","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5083487265","display_name":"Sharmishtha Mitra","orcid":"https://orcid.org/0000-0002-4939-8473"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharmishtha Mitra","raw_affiliation_strings":["Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017626381","display_name":"Amit Mitra","orcid":"https://orcid.org/0000-0003-4046-7070"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amit Mitra","raw_affiliation_strings":["Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102241870","display_name":"Sanket Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanket Bose","raw_affiliation_strings":["Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics & Statistics, Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017626381"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25058741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"46","issue":"4","first_page":"2654","last_page":"2677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9782000184059143,"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/bivariate-analysis","display_name":"Bivariate analysis","score":0.7726601362228394},{"id":"https://openalex.org/keywords/periodogram","display_name":"Periodogram","score":0.6969083547592163},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6245017647743225},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.503520667552948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5015518665313721},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.494806706905365},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4918951988220215},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47651398181915283},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.4503423869609833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41519755125045776},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3103334307670593},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1768662929534912},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15931010246276855}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7726601362228394},{"id":"https://openalex.org/C197680801","wikidata":"https://www.wikidata.org/wiki/Q587619","display_name":"Periodogram","level":2,"score":0.6969083547592163},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6245017647743225},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.503520667552948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5015518665313721},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.494806706905365},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4918951988220215},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47651398181915283},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.4503423869609833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41519755125045776},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3103334307670593},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1768662929534912},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15931010246276855},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1056352","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1056352","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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":24,"referenced_works":["https://openalex.org/W14082013","https://openalex.org/W84548831","https://openalex.org/W1597732836","https://openalex.org/W1814500939","https://openalex.org/W1971709450","https://openalex.org/W1987753170","https://openalex.org/W1993275553","https://openalex.org/W1993550917","https://openalex.org/W2011270065","https://openalex.org/W2016080815","https://openalex.org/W2041687729","https://openalex.org/W2042121317","https://openalex.org/W2045936591","https://openalex.org/W2048245744","https://openalex.org/W2051216811","https://openalex.org/W2079758945","https://openalex.org/W2088581284","https://openalex.org/W2092221292","https://openalex.org/W2099827110","https://openalex.org/W2122997114","https://openalex.org/W2126455177","https://openalex.org/W2130403978","https://openalex.org/W2161844177","https://openalex.org/W2162443378"],"related_works":["https://openalex.org/W2553126238","https://openalex.org/W158418063","https://openalex.org/W2043599907","https://openalex.org/W2337188777","https://openalex.org/W2112616456","https://openalex.org/W1504883668","https://openalex.org/W2131661449","https://openalex.org/W2393326775","https://openalex.org/W4233453838","https://openalex.org/W262848098"],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,28,31],"of":[2,5,32,35,56,78,89,92],"the":[3,33,53,57,71,90],"parameters":[4],"superimposed":[6,58],"sinusoidal":[7,59],"signals":[8,36,93],"is":[9,44],"an":[10],"important":[11],"problem":[12],"in":[13],"digital":[14],"signal":[15,38,95],"processing":[16],"and":[17,37,51,66,82,86,94],"time":[18],"series":[19],"analysis.":[20],"In":[21],"this":[22],"article,":[23],"we":[24],"propose":[25],"a":[26,47,75],"simultaneous":[27],"procedure":[29],"for":[30,61],"number":[34,91],"parameters.":[39,96],"The":[40],"proposed":[41,72],"sequential":[42,62],"method":[43,73],"based":[45],"on":[46],"robust":[48,85],"bivariate":[49],"M-periodogram":[50],"uses":[52],"orthogonal":[54],"structure":[55],"model":[60],"estimation.":[63],"Extensive":[64],"simulations":[65],"data":[67],"analysis":[68],"show":[69],"that":[70],"has":[74],"high":[76],"degree":[77],"frequency":[79],"resolution":[80],"capability":[81],"can":[83],"provide":[84],"efficient":[87],"estimates":[88]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}