{"id":"https://openalex.org/W2018740368","doi":"https://doi.org/10.1109/ssp.2014.6884637","title":"&amp;#x2113;&lt;inf&gt;1&lt;/inf&gt;-norm based nonparametric and semiparametric approaches for robust spectral analysis","display_name":"&amp;#x2113;&lt;inf&gt;1&lt;/inf&gt;-norm based nonparametric and semiparametric approaches for robust spectral analysis","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2018740368","doi":"https://doi.org/10.1109/ssp.2014.6884637","mag":"2018740368"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2014.6884637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","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/A5005326961","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0003-3937-1856"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109063207","display_name":"H.C. So","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"H.C. So","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057667197","display_name":"Long-Ting Huang","orcid":"https://orcid.org/0000-0003-2236-0501"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Long-Ting Huang","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049463786","display_name":"Wen-Qin Wang","orcid":"https://orcid.org/0000-0003-4466-9585"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wen-Qin Wang","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","School of Communication and Information Engineering; UESTC; Chengdu China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Communication and Information Engineering; UESTC; Chengdu China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005326961"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08221722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"308","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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/T10931","display_name":"Direction-of-Arrival Estimation 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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7616998553276062},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7237430810928345},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6879717707633972},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5060920119285583},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4640253186225891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44934403896331787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44538843631744385},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4377157688140869},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4319915473461151},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3741776943206787},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34642255306243896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27090686559677124},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1824009120464325}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7616998553276062},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7237430810928345},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6879717707633972},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5060920119285583},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4640253186225891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44934403896331787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44538843631744385},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4377157688140869},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4319915473461151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3741776943206787},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34642255306243896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27090686559677124},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1824009120464325},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/ssp.2014.6884637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2014.6884637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Workshop on Statistical Signal Processing (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1986195997","https://openalex.org/W1999177119","https://openalex.org/W2038876983","https://openalex.org/W2081437276","https://openalex.org/W2112855412","https://openalex.org/W2153605253","https://openalex.org/W2169652966","https://openalex.org/W6682649594"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W1485223389","https://openalex.org/W2040597492","https://openalex.org/W2013882407","https://openalex.org/W2901843708","https://openalex.org/W4236777572","https://openalex.org/W1981436518","https://openalex.org/W2161099019"],"abstract_inverted_index":{"The":[0,14],"problem":[1,83],"of":[2,38,69,117],"frequency":[3,81],"estimation":[4,65,82],"can":[5],"be":[6],"solved":[7],"by":[8],"parametric,":[9],"non-parametric":[10],"or":[11],"semi-parametric":[12],"methods.":[13],"representative":[15],"nonparametric":[16],"and":[17,25,53,102],"semiparametric":[18],"methods,":[19],"namely,":[20],"iterative":[21,29],"adaptive":[22],"approach":[23],"(IAA)":[24],"sparse":[26],"learning":[27],"via":[28],"minimization":[30],"(SLIM)":[31],"have":[32],"been":[33],"recently":[34],"proposed.":[35],"Since":[36],"both":[37],"them":[39],"are":[40,59,92,109],"not":[41],"robust":[42],"to":[43,61,86,95,111],"impulsive":[44],"noise,":[45],"their":[46],"extensions,":[47],"\u2113":[48,54,97],"<sub":[49,55,98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[50,56,99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[51,57,100],"-IAA":[52],"-SLIM":[58],"derived":[60],"provide":[62],"accurate":[63],"spectral":[64],"in":[66,73],"the":[67,70,79,96,113,118],"presence":[68],"heavy-tailed":[71],"noise":[72],"this":[74],"paper.":[75],"In":[76],"our":[77],"study,":[78],"nonlinear":[80],"is":[84],"mapped":[85],"a":[87],"linear":[88],"model":[89],"whose":[90],"parameters":[91],"updated":[93],"according":[94],"-norm":[101],"iteratively":[103],"reweighted":[104],"least":[105],"squares.":[106],"Simulation":[107],"results":[108],"included":[110],"demonstrate":[112],"outlier":[114],"resistance":[115],"performance":[116],"proposed":[119],"algorithms.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}