{"id":"https://openalex.org/W2902454635","doi":"https://doi.org/10.1109/wcsp.2018.8555873","title":"Fast Sparse RLS Algorithms","display_name":"Fast Sparse RLS Algorithms","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2902454635","doi":"https://doi.org/10.1109/wcsp.2018.8555873","mag":"2902454635"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp.2018.8555873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5100742403","display_name":"Zhen Qin","orcid":"https://orcid.org/0009-0000-0388-8840"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Qin","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020883256","display_name":"Jun Tao","orcid":"https://orcid.org/0000-0002-1195-9503"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tao","raw_affiliation_strings":["State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102019986","display_name":"Liang An","orcid":"https://orcid.org/0000-0002-1028-3759"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang An","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023123451","display_name":"Shuai Yao","orcid":"https://orcid.org/0000-0001-6462-4670"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yao","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034144249","display_name":"Xiao Han","orcid":"https://orcid.org/0000-0003-3915-8043"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Han","raw_affiliation_strings":["Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4601,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88954635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":null,"first_page":"1","last_page":"5"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"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":0.6353896856307983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6189513802528381},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5719980001449585},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5573813915252686},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5313972234725952},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5117273330688477},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.475887656211853},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4563797116279602},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.26657259464263916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19435840845108032}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6353896856307983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189513802528381},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5719980001449585},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5573813915252686},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5313972234725952},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5117273330688477},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.475887656211853},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4563797116279602},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.26657259464263916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19435840845108032},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp.2018.8555873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp.2018.8555873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 10th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1992516166","https://openalex.org/W2098674248","https://openalex.org/W2100607681","https://openalex.org/W2101903757","https://openalex.org/W2113661696","https://openalex.org/W2127846956","https://openalex.org/W2143643945","https://openalex.org/W2145669111","https://openalex.org/W2156623806","https://openalex.org/W2157850096","https://openalex.org/W2165653503","https://openalex.org/W2166106181","https://openalex.org/W2293909378","https://openalex.org/W2599216804","https://openalex.org/W2782164675","https://openalex.org/W2905388751","https://openalex.org/W3139847728","https://openalex.org/W3145321633","https://openalex.org/W6674616871","https://openalex.org/W6681126137","https://openalex.org/W6681179127","https://openalex.org/W6747026714"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W2174948646","https://openalex.org/W3173235360","https://openalex.org/W2132761261","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W2594370889","https://openalex.org/W2390720471","https://openalex.org/W2051410394","https://openalex.org/W1600789676"],"abstract_inverted_index":{"Sparse":[0],"recursive":[1],"least":[2],"squares":[3],"(RLS)":[4],"algorithms":[5],"designed":[6],"by":[7],"introducing":[8],"a":[9,137,161],"sparse":[10,31,40,52,89,100,111,121,139,146,179],"penalty":[11],"(regularization)":[12],"into":[13],"the":[14,23,27,30,47,63,71,85,88,97,99,114,120,128,131,134,153,170,183,187,195],"standard":[15,28,188],"RLS":[16,32,90,140],"cost":[17],"function,":[18],"have":[19],"been":[20],"proposed":[21,132],"in":[22,46],"literature.":[24],"Compared":[25],"with":[26,143,167],"RLS,":[29,122],"achieves":[33,191],"faster":[34],"convergence":[35],"and":[36,105,190],"better":[37],"performance":[38,193],"under":[39],"systems.":[41],"Even":[42],"though,":[43],"it":[44],"includes":[45],"updating":[48,101,112,147],"equation":[49],"an":[50,109,144],"additional":[51],"term,":[53,113],"which":[54],"not":[55],"only":[56],"incurs":[57],"extra":[58],"complexity":[59,86,124,162],"but":[60],"also":[61],"prevents":[62],"use":[64],"of":[65,87,130,163,175,178],"existing":[66],"fast":[67,73,115],"implementations":[68],"such":[69],"as":[70],"stable":[72],"transversal":[74],"filter":[75],"(SFFT)":[76],"algorithm.":[77,157],"In":[78,173],"this":[79],"paper,":[80],"we":[81],"aim":[82],"to":[83,152,194],"reduce":[84],"for":[91,119,169],"promoting":[92],"its":[93],"practicability.":[94],"To":[95,126],"achieve":[96],"goal,":[98],"term":[102,148,174],"is":[103,117,149],"analyzed":[104],"then":[106],"approximated.":[107],"With":[108],"approximated":[110,145],"implementation":[116],"enabled":[118],"achieving":[123],"reduction.":[125],"demonstrate":[127],"feasibility":[129],"scheme,":[133],"l0-RLS":[135],"(as":[136],"typical":[138],"algorithm)":[141],"coupled":[142],"proposed,":[150],"leading":[151],"selective":[154],"zero-attracting":[155],"SFTF(SZA-SFTF)":[156],"The":[158],"SZA-SFTF":[159,184],"has":[160],"order":[164],"O(11N),":[165],"compared":[166],"O(N2)":[168],"original":[171],"l0-RLS.":[172,197],"performance,":[176],"simulations":[177],"system":[180],"identification":[181],"showed":[182],"considerably":[185],"outperforms":[186],"SFTF":[189],"close":[192],"exact":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
