{"id":"https://openalex.org/W2901865033","doi":"https://doi.org/10.1109/globalsip.2018.8646465","title":"l<inf>0</inf>-NORM FEATURE LMS ALGORITHMS","display_name":"l<inf>0</inf>-NORM FEATURE LMS ALGORITHMS","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2901865033","doi":"https://doi.org/10.1109/globalsip.2018.8646465","mag":"2901865033"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064616012","display_name":"Hamed Yazdanpanah","orcid":"https://orcid.org/0000-0002-7108-7866"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hamed Yazdanpanah","raw_affiliation_strings":["Programs of Electrical and Defense Engineering, Military Institute of Engineering (IME), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programs of Electrical and Defense Engineering, Military Institute of Engineering (IME), Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061595221","display_name":"Jos\u00e9 A. Apolin\u00e1rio","orcid":"https://orcid.org/0000-0003-1426-9636"},"institutions":[{"id":"https://openalex.org/I41870","display_name":"Military Institute of Engineering","ror":"https://ror.org/03veakt65","country_code":"BR","type":"education","lineage":["https://openalex.org/I41870"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose A. Apolinario","raw_affiliation_strings":["Programs of Electrical and Defense Engineering, Military Institute of Engineering (IME), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Programs of Electrical and Defense Engineering, Military Institute of Engineering (IME), Brazil","institution_ids":["https://openalex.org/I41870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001906248","display_name":"Paulo S. R. Diniz","orcid":"https://orcid.org/0000-0002-1272-7368"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo S. R. Diniz","raw_affiliation_strings":["Program of Electrical Engineering, COPPE/Poli/Federal University of Rio de Janeiro (UFRJ), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program of Electrical Engineering, COPPE/Poli/Federal University of Rio de Janeiro (UFRJ), Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042264974","display_name":"Markus V. S. Lima","orcid":"https://orcid.org/0000-0002-7333-025X"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Markus V. S. Lima","raw_affiliation_strings":["Program of Electrical Engineering, COPPE/Poli/Federal University of Rio de Janeiro (UFRJ), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Program of Electrical Engineering, COPPE/Poli/Federal University of Rio de Janeiro (UFRJ), Brazil","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0154,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.97194828,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987000226974487,"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":0.9973999857902527,"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/algorithm","display_name":"Algorithm","score":0.700865626335144},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6442676782608032},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.6290638446807861},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.6018360257148743},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.5682127475738525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5571500658988953},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4557560980319977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3271842300891876}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.700865626335144},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6442676782608032},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.6290638446807861},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.6018360257148743},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.5682127475738525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5571500658988953},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4557560980319977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3271842300891876},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1535810436","https://openalex.org/W1538882755","https://openalex.org/W1587137719","https://openalex.org/W2063266395","https://openalex.org/W2063675264","https://openalex.org/W2104690340","https://openalex.org/W2143643945","https://openalex.org/W2158073930","https://openalex.org/W2182793945","https://openalex.org/W2339465384","https://openalex.org/W2560834097","https://openalex.org/W2564016527","https://openalex.org/W2593805793","https://openalex.org/W2626197446","https://openalex.org/W2794254731","https://openalex.org/W2797078313","https://openalex.org/W2804886532","https://openalex.org/W3145321633","https://openalex.org/W4210475733","https://openalex.org/W6635110747","https://openalex.org/W6681126137"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2051390178","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W1998353256","https://openalex.org/W2370278301","https://openalex.org/W4206392134"],"abstract_inverted_index":{"A":[0],"class":[1],"of":[2,39,107],"algorithms":[3],"known":[4],"as":[5],"feature":[6,46],"least-mean-square":[7],"(F-LMS)":[8],"has":[9],"been":[10],"proposed":[11,136],"recently":[12],"to":[13,23,48,71,88,103],"exploit":[14,60,89],"hidden":[15,62,77,145],"sparsity":[16,35,81],"in":[17,36,65,101,148],"adaptive":[18,26,50],"filter":[19,40,51],"parameters.":[20],"In":[21,110],"contrast":[22],"common":[24],"sparsity-aware":[25],"filtering":[27],"algorithms,":[28],"the":[29,49,54,68,83,98,105,115,119,135,139,153],"F-LMS":[30,55,84,99,121,140],"algorithm":[31,56,85,100,123,137,141],"detects":[32],"and":[33,59,82,127],"exploits":[34],"linear":[37],"combinations":[38],"coefficients.":[41],"Indeed,":[42],"by":[43,113],"applying":[44],"a":[45],"matrix":[47],"coefficients":[52],"vector,":[53],"can":[57,93],"reveal":[58],"their":[61],"sparsity.":[63,109],"However,":[64],"many":[66],"cases":[67],"unknown":[69],"plant":[70],"be":[72],"identified":[73],"contains":[74],"not":[75],"only":[76],"but":[78],"also":[79],"plain":[80,108],"is":[86,156],"unable":[87],"it.":[90],"Therefore,":[91],"we":[92,117],"incorporate":[94],"sparsity-promoting":[95],"techniques":[96],"into":[97],"order":[102],"allow":[104],"exploitation":[106],"this":[111],"paper,":[112],"utilizing":[114],"l0-norm,":[116],"propose":[118],"l0-norm":[120],"(l0-F-LMS)":[122],"for":[124],"sparse":[125,128,150],"lowpass":[126],"highpass":[129],"systems.":[130],"Numerical":[131],"results":[132],"show":[133],"that":[134],"outperforms":[138],"when":[142],"dealing":[143],"with":[144],"sparsity,":[146],"particularly":[147],"highly":[149],"systems":[151],"where":[152],"convergence":[154],"rate":[155],"sped":[157],"up":[158],"significantly.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}