{"id":"https://openalex.org/W2927475684","doi":"https://doi.org/10.1109/access.2019.2908189","title":"Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution","display_name":"Sparse Autoregressive Modeling via the Least Absolute LP-Norm Penalized Solution","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2927475684","doi":"https://doi.org/10.1109/access.2019.2908189","mag":"2927475684"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2908189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908189","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2908189","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040881661","display_name":"Joyce Chelangat Bore","orcid":"https://orcid.org/0000-0001-7985-0371"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Joyce Chelangat Bore","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, CN"],"raw_orcid":"https://orcid.org/0000-0001-7985-0371","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, CN","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010088782","display_name":"Walid M. A. Ayedh","orcid":null},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Walid Mohammed Ahmed Ayedh","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, CN","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907160","display_name":"Peiyang Li","orcid":"https://orcid.org/0000-0002-3937-2560"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyang Li","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications, Chongqing, Chongqing, CN","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102822593","display_name":"Dezhong Yao","orcid":"https://orcid.org/0000-0002-8042-879X"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Dezhong Yao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, CN","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101929475","display_name":"Peng Xu","orcid":"https://orcid.org/0000-0002-6431-1110"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Peng Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, CN","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1217,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76141836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"40959","last_page":"40968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8039062023162842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6661174297332764},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6645902395248413},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.649651288986206},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6086317300796509},{"id":"https://openalex.org/keywords/least-absolute-deviations","display_name":"Least absolute deviations","score":0.6075385808944702},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5847522020339966},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.5591915249824524},{"id":"https://openalex.org/keywords/multitaper","display_name":"Multitaper","score":0.49748876690864563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46206411719322205},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44028759002685547},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3876781165599823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.295551061630249},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20113396644592285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16182342171669006}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8039062023162842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6661174297332764},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6645902395248413},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.649651288986206},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6086317300796509},{"id":"https://openalex.org/C31441030","wikidata":"https://www.wikidata.org/wiki/Q4291882","display_name":"Least absolute deviations","level":3,"score":0.6075385808944702},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5847522020339966},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.5591915249824524},{"id":"https://openalex.org/C2777067715","wikidata":"https://www.wikidata.org/wiki/Q3327726","display_name":"Multitaper","level":2,"score":0.49748876690864563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46206411719322205},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44028759002685547},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3876781165599823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.295551061630249},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20113396644592285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16182342171669006},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2908189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908189","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:77917e0272d8413bb2d5f0d4378a0c10","is_oa":true,"landing_page_url":"https://doaj.org/article/77917e0272d8413bb2d5f0d4378a0c10","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 40959-40968 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2908189","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908189","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1150151863","display_name":null,"funder_award_id":"61603344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1442791517","display_name":null,"funder_award_id":"61522105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1667556120","display_name":null,"funder_award_id":"81401484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5838134046","display_name":"\u8fd0\u52a8\u60f3\u8c61\u8111\u673a\u63a5\u53e3\u53ca\u5176\u5728\u8111\u762b\u5eb7\u590d\u4e2d\u7684\u5e94\u7528\u57fa\u7840\u7814\u7a76","funder_award_id":"81330032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1587896874","https://openalex.org/W1910694513","https://openalex.org/W1996703612","https://openalex.org/W2002987156","https://openalex.org/W2012961725","https://openalex.org/W2020091808","https://openalex.org/W2025157091","https://openalex.org/W2043158732","https://openalex.org/W2043691120","https://openalex.org/W2056201402","https://openalex.org/W2057990756","https://openalex.org/W2062433531","https://openalex.org/W2065030431","https://openalex.org/W2068218501","https://openalex.org/W2079654589","https://openalex.org/W2084158625","https://openalex.org/W2089394015","https://openalex.org/W2093922090","https://openalex.org/W2108833652","https://openalex.org/W2113762408","https://openalex.org/W2115021853","https://openalex.org/W2118418963","https://openalex.org/W2123108487","https://openalex.org/W2123346926","https://openalex.org/W2127570060","https://openalex.org/W2128404967","https://openalex.org/W2128495200","https://openalex.org/W2130535167","https://openalex.org/W2131729872","https://openalex.org/W2132663737","https://openalex.org/W2133746753","https://openalex.org/W2135046866","https://openalex.org/W2136562407","https://openalex.org/W2140434576","https://openalex.org/W2156803951","https://openalex.org/W2216139520","https://openalex.org/W2345116563","https://openalex.org/W2409609761","https://openalex.org/W2566752166","https://openalex.org/W2605217922","https://openalex.org/W2622507035","https://openalex.org/W2793788695","https://openalex.org/W2888738034","https://openalex.org/W2901664785","https://openalex.org/W3124642795","https://openalex.org/W4292363360","https://openalex.org/W4294491640","https://openalex.org/W6677787602","https://openalex.org/W6681956693","https://openalex.org/W6688447623"],"related_works":["https://openalex.org/W2770264646","https://openalex.org/W2069675821","https://openalex.org/W1980736266","https://openalex.org/W2084410249","https://openalex.org/W3151479552","https://openalex.org/W4311044804","https://openalex.org/W2346438587","https://openalex.org/W1978096141","https://openalex.org/W2679491435","https://openalex.org/W2927475684"],"abstract_inverted_index":{"The":[0],"conventional":[1],"autoregressive":[2],"(AR)":[3],"model":[4],"has":[5],"been":[6],"widely":[7],"applied":[8,192],"in":[9,22,91],"the":[10,41,47,68,71,77,86,89,104,137,141,146,159,183,193,208],"various":[11,51],"electroencephalogram":[12],"(EEG)":[13],"analyses":[14],"such":[15],"as":[16,38,40],"spectrum":[17,216],"estimation,":[18],"waveform":[19],"fittings,":[20],"and":[21,58,150,210],"classification":[23],"tasks.":[24],"Nevertheless,":[25],"evoked":[26],"EEG":[27,197,214],"is":[28,73,84],"usually":[29],"inevitably":[30],"contaminated":[31],"by":[32],"multiple":[33],"background":[34],"activities":[35],"(ongoing":[36],"EEG)":[37],"well":[39,65],"strong":[42],"outliers":[43,149,209],"which":[44,83,135],"may":[45,169],"distort":[46],"AR":[48,52,62,121,161,186],"estimates":[49],"of":[50,70,79,88,101,148],"estimation":[53,187],"methods":[54,108],"including":[55],"LS,":[56],"Yule-Walker,":[57],"Burg.":[59],"Moreover,":[60],"current":[61],"approaches":[63],"perform":[64],"only":[66],"when":[67],"length":[69],"time-series":[72,96],"much":[74],"larger":[75],"than":[76,182],"number":[78],"brain":[80],"sites":[81],"studied,":[82],"exactly":[85],"reverse":[87],"situation":[90],"neuroimaging":[92],"whereby":[93],"relatively":[94],"short":[95],"are":[97],"measured":[98],"over":[99],"thousands":[100],"voxels":[102],"thus":[103],"need":[105],"for":[106,140],"penalized":[107],"to":[109,144,157,195],"obtain":[110,158],"sparse":[111,160],"solutions.":[112],"In":[113,189],"this":[114],"paper,":[115],"we":[116,191],"introduce":[117],"a":[118,212],"novel":[119],"ADMM-based":[120],"estimator":[122],"termed":[123],"LAPPS":[124],"(Least":[125],"Absolute":[126],"LP":[127],"(0":[128],"<;":[129,131],"p":[130],"1)":[132],"Penalized":[133],"Solution)":[134],"employs":[136],"L1-loss":[138],"function":[139],"residual":[142],"error":[143],"alleviate":[145],"influence":[147],"another":[151],"Lp-penalty":[152],"term":[153],"(p":[154],"=":[155],"0.5)":[156],"parameters":[162],"while":[163],"suppressing":[164],"any":[165],"spurious":[166],"noise":[167],"that":[168,178],"be":[170],"present.":[171],"Our":[172],"obtained":[173],"simulations":[174],"result":[175],"quantitatively":[176],"show":[177],"LAPPS-AR":[179,205],"performs":[180],"better":[181],"commonly":[184],"used":[185],"methods.":[188],"addition,":[190],"method":[194],"real":[196],"visual":[198],"oddball":[199],"recording":[200],"with":[201,218],"ocular":[202],"artifacts":[203],"where":[204],"effectively":[206],"suppressed":[207],"estimated":[211],"P300":[213],"power":[215],"consistent":[217],"its":[219],"physiological":[220],"basis.":[221]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
