{"id":"https://openalex.org/W2783280239","doi":"https://doi.org/10.1109/uemcon.2017.8249012","title":"Channel sparsity-aware recursive least squares algorithms for nonlinear system modeling and active noise control","display_name":"Channel sparsity-aware recursive least squares algorithms for nonlinear system modeling and active noise control","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2783280239","doi":"https://doi.org/10.1109/uemcon.2017.8249012","mag":"2783280239"},"language":"en","primary_location":{"id":"doi:10.1109/uemcon.2017.8249012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","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/A5110915613","display_name":"Li Tan","orcid":"https://orcid.org/0009-0005-5689-2401"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Tan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112394840","display_name":"Vinith Vijayarajan","orcid":null},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinith Vijayarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011392565","display_name":"Nicholas Chimitt","orcid":"https://orcid.org/0000-0001-9528-0102"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas M Chimitt","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Purdue University Northwest, Indiana, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000759128","display_name":"Jean Jiang","orcid":"https://orcid.org/0000-0002-6689-2393"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean Jiang","raw_affiliation_strings":["Department of Engineering Technology, Purdue University Northwest, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Technology, Purdue University Northwest, Indiana, USA","institution_ids":["https://openalex.org/I117015748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067877694","display_name":"Alain Togb\u00e9","orcid":"https://orcid.org/0000-0002-5882-936X"},"institutions":[{"id":"https://openalex.org/I117015748","display_name":"Purdue University Northwest","ror":"https://ror.org/04keq6987","country_code":"US","type":"education","lineage":["https://openalex.org/I117015748"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alain Togbe","raw_affiliation_strings":["Department of Mathematics, Purdue University Northwest, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University Northwest, Indiana, USA","institution_ids":["https://openalex.org/I117015748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.494,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66248345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"144"},"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/T11236","display_name":"Control Systems and Identification","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9947999715805054,"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":0.7091987133026123},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.6564860343933105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319907307624817},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5348089933395386},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5264309644699097},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4952792227268219},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4793339669704437},{"id":"https://openalex.org/keywords/weight","display_name":"Weight","score":0.4549607038497925},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4435757100582123},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.428850919008255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3796427249908447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3097982704639435},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.24359816312789917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15249386429786682},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.0633188784122467}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7091987133026123},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.6564860343933105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319907307624817},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5348089933395386},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5264309644699097},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4952792227268219},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4793339669704437},{"id":"https://openalex.org/C183877218","wikidata":"https://www.wikidata.org/wiki/Q7979858","display_name":"Weight","level":3,"score":0.4549607038497925},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4435757100582123},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.428850919008255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3796427249908447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3097982704639435},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.24359816312789917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15249386429786682},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0633188784122467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C51568863","wikidata":"https://www.wikidata.org/wiki/Q664495","display_name":"Lie algebra","level":2,"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/uemcon.2017.8249012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/uemcon.2017.8249012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W1492221128","https://openalex.org/W1538797301","https://openalex.org/W1996726072","https://openalex.org/W2005462646","https://openalex.org/W2029915997","https://openalex.org/W2081139219","https://openalex.org/W2095711409","https://openalex.org/W2098674248","https://openalex.org/W2122438863","https://openalex.org/W2123193976","https://openalex.org/W2127066221","https://openalex.org/W2143783917","https://openalex.org/W2169692087","https://openalex.org/W2564016527","https://openalex.org/W2593805793","https://openalex.org/W6678367645"],"related_works":["https://openalex.org/W1517908938","https://openalex.org/W2134577297","https://openalex.org/W2138794354","https://openalex.org/W2281834912","https://openalex.org/W3192938236","https://openalex.org/W2136295297","https://openalex.org/W2161390712","https://openalex.org/W1486674714","https://openalex.org/W2028819154","https://openalex.org/W4206211360"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"new":[5],"channel":[6,47,94,98,122,139,148],"sparsityaware":[7],"recursive":[8],"least":[9],"square":[10],"(RLS)":[11],"algorithms":[12,27,71,100,125,150],"using":[13],"a":[14,29,78,152],"sequential":[15,20,64,132],"update.":[16],"The":[17,61,97],"developed":[18,62],"sparse":[19],"RLS":[21,25,65,69,124,133],"(S-SEQ-RLS)":[22],"and":[23,55,67,108],"filtered-x":[24,68],"(S-SEQ-FxRLS)":[26],"use":[28],"discard":[30],"function":[31,76],"to":[32,39,50],"disregard":[33],"the":[34,42,52,57,73,90,93,120,127,131,138,146,159],"coefficients":[35],"which":[36,85,137],"are":[37,101,142],"close":[38],"zero":[40],"in":[41,48,84,136,156],"weight":[43,95,140],"vector":[44],"for":[45,104,111],"each":[46,86],"order":[49],"reduce":[51],"computational":[53,154],"load":[54,155],"improve":[56],"algorithm":[58,135],"convergence":[59],"rate.":[60],"l0-norm":[63,91],"(l0-SEQ-RLS)":[66],"(l0-SEQ-FxRLS)":[70],"minimize":[72],"error":[74],"objective":[75],"with":[77,158],"sum":[79],"of":[80,92],"weighted":[81],"penalty":[82,87],"terms":[83],"term":[88],"is":[89],"vector.":[96],"sparsity-aware":[99,123,149,161],"first":[102],"derived":[103],"nonlinear":[105,112],"system":[106],"modeling":[107],"then":[109],"modified":[110],"active":[113],"noise":[114],"control.":[115],"Simulation":[116],"results":[117],"demonstrate":[118],"that":[119],"proposed":[121,147],"achieve":[126],"similar":[128],"performance":[129],"as":[130],"(SEQ-RLS)":[134],"vectors":[141],"sequentially":[143],"updated.":[144],"Furthermore,":[145],"require":[151],"lower":[153],"comparison":[157],"nonsequential":[160],"algorithms.":[162]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}