{"id":"https://openalex.org/W1986195997","doi":"https://doi.org/10.1109/tsp.2010.2086452","title":"New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data","display_name":"New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data","publication_year":2010,"publication_date":"2010-10-19","ids":{"openalex":"https://openalex.org/W1986195997","doi":"https://doi.org/10.1109/tsp.2010.2086452","mag":"1986195997"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2010.2086452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2086452","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/A5007877889","display_name":"Petre Stoica","orcid":"https://orcid.org/0000-0002-7957-3711"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Petre Stoica","raw_affiliation_strings":["Department of Information Technology, University of Uppsala, Uppsala, Sweden","Department of Information Technology; Uppsala University; Uppsala Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Uppsala, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology; Uppsala University; Uppsala Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012466580","display_name":"Prabhu Babu","orcid":"https://orcid.org/0000-0002-9041-9010"},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Prabhu Babu","raw_affiliation_strings":["Department of Information Technology, University of Uppsala, Uppsala, Sweden","Department of Information Technology; Uppsala University; Uppsala Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, University of Uppsala, Uppsala, Sweden","institution_ids":["https://openalex.org/I123387679"]},{"raw_affiliation_string":"Department of Information Technology; Uppsala University; Uppsala Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","Dept. of Electr. & Comput. Eng., University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.839,"has_fulltext":false,"cited_by_count":272,"citation_normalized_percentile":{"value":0.98939531,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"59","issue":"1","first_page":"35","last_page":"47"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273055076599121},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5510972142219543},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.5173577666282654},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5166521668434143},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.5147426128387451},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5088282227516174},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47333842515945435},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.4691760838031769},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45801985263824463},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.451049268245697},{"id":"https://openalex.org/keywords/spice","display_name":"Spice","score":0.44629910588264465},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4159836769104004},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4100639820098877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3703906238079071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3649344742298126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3269292116165161},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.14427676796913147},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13465282320976257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273055076599121},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5510972142219543},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.5173577666282654},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5166521668434143},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.5147426128387451},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5088282227516174},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47333842515945435},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.4691760838031769},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45801985263824463},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.451049268245697},{"id":"https://openalex.org/C2780077345","wikidata":"https://www.wikidata.org/wiki/Q16891888","display_name":"Spice","level":2,"score":0.44629910588264465},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4159836769104004},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4100639820098877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3703906238079071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3649344742298126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3269292116165161},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.14427676796913147},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13465282320976257},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2010.2086452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2086452","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1632601927","https://openalex.org/W1827018980","https://openalex.org/W1967073510","https://openalex.org/W1968867201","https://openalex.org/W1973233493","https://openalex.org/W1986316936","https://openalex.org/W2007829753","https://openalex.org/W2012809240","https://openalex.org/W2018089423","https://openalex.org/W2019945856","https://openalex.org/W2024785675","https://openalex.org/W2072361960","https://openalex.org/W2090636411","https://openalex.org/W2106965455","https://openalex.org/W2112855412","https://openalex.org/W2114420883","https://openalex.org/W2115141757","https://openalex.org/W2116437043","https://openalex.org/W2116613037","https://openalex.org/W2122315118","https://openalex.org/W2124293649","https://openalex.org/W2135046866","https://openalex.org/W2136135568","https://openalex.org/W2139419267","https://openalex.org/W2149755721","https://openalex.org/W2153567056","https://openalex.org/W2162443378","https://openalex.org/W2165941627","https://openalex.org/W3031689935","https://openalex.org/W3101776211","https://openalex.org/W3104594972","https://openalex.org/W6653765215","https://openalex.org/W6677378047"],"related_works":["https://openalex.org/W2204879205","https://openalex.org/W2096437374","https://openalex.org/W1943174035","https://openalex.org/W1928481607","https://openalex.org/W3135165657","https://openalex.org/W1485582195","https://openalex.org/W57337972","https://openalex.org/W1561306903","https://openalex.org/W4323657563","https://openalex.org/W2999139497"],"abstract_inverted_index":{"Separable":[0],"models":[1,19],"occur":[2],"frequently":[3],"in":[4,23,79],"spectral":[5],"analysis,":[6],"array":[7],"processing,":[8],"radar":[9],"imaging":[10],"and":[11,32,43],"astronomy":[12],"applications.":[13],"Statistical":[14],"inference":[15],"methods":[16],"for":[17,115],"these":[18],"can":[20,75],"be":[21,76],"categorized":[22],"three":[24],"large":[25],"classes:":[26],"parametric,":[27],"nonparametric":[28],"(also":[29,34],"called":[30,35,58],"\u201cdense\u201d)":[31],"semiparametric":[33],"\u201csparse\u201d).":[36],"We":[37,101],"begin":[38],"by":[39,108],"discussing":[40],"the":[41,80,103],"advantages":[42],"disadvantages":[44],"of":[45,82,98,106,110],"each":[46],"class.":[47],"Then":[48],"we":[49],"go":[50],"on":[51],"to":[52],"introduce":[53],"a":[54,111],"new":[55],"semiparametric/sparse":[56,61],"method":[57],"SPICE":[59,66,107],"(a":[60],"iterative":[62],"covariance-based":[63],"estimation":[64,90,113],"method).":[65],"is":[67],"computationally":[68],"quite":[69],"efficient,":[70],"enjoys":[71],"global":[72],"convergence":[73],"properties,":[74],"readily":[77],"used":[78],"case":[81],"replicated":[83],"measurements":[84],"and,":[85],"unlike":[86],"most":[87],"other":[88],"sparse":[89],"methods,":[91],"does":[92],"not":[93],"require":[94],"any":[95],"subtle":[96],"choices":[97],"user":[99],"parameters.":[100],"illustrate":[102],"statistical":[104],"performance":[105],"means":[109],"line-spectrum":[112],"study":[114],"irregularly":[116],"sampled":[117],"data.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":11}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
