{"id":"https://openalex.org/W3165560557","doi":"https://doi.org/10.1109/tcsii.2021.3082425","title":"Robust Proportionate Normalized Least Mean M-Estimate Algorithm for Block-Sparse System Identification","display_name":"Robust Proportionate Normalized Least Mean M-Estimate Algorithm for Block-Sparse System Identification","publication_year":2021,"publication_date":"2021-05-20","ids":{"openalex":"https://openalex.org/W3165560557","doi":"https://doi.org/10.1109/tcsii.2021.3082425","mag":"3165560557"},"language":"en","primary_location":{"id":"doi:10.1109/tcsii.2021.3082425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3082425","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-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/A5032693782","display_name":"Shaohui Lv","orcid":"https://orcid.org/0000-0002-0026-161X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Lv","raw_affiliation_strings":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","[Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University,Chengdu610031,China.]"],"raw_orcid":"https://orcid.org/0000-0002-0026-161X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"[Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University,Chengdu610031,China.]","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050937458","display_name":"Haiquan Zhao","orcid":"https://orcid.org/0000-0003-0198-1384"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiquan Zhao","raw_affiliation_strings":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-0198-1384","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066087659","display_name":"Lijun Zhou","orcid":"https://orcid.org/0000-0002-6070-0020"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhou","raw_affiliation_strings":["Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6070-0020","affiliations":[{"raw_affiliation_string":"Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, and the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":4.1422,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95181311,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"69","issue":"1","first_page":"234","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9973000288009644,"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":0.6866990327835083},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.6488336324691772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5195375084877014},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.5138802528381348},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.46875452995300293},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.45383763313293457},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4319911003112793},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.4102393388748169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36241525411605835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14481863379478455},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07946616411209106}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6866990327835083},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.6488336324691772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5195375084877014},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.5138802528381348},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.46875452995300293},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.45383763313293457},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4319911003112793},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.4102393388748169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36241525411605835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14481863379478455},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07946616411209106},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","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/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsii.2021.3082425","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsii.2021.3082425","pdf_url":null,"source":{"id":"https://openalex.org/S93916849","display_name":"IEEE Transactions on Circuits & Systems II Express Briefs","issn_l":"1549-7747","issn":["1549-7747","1558-3791"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Circuits and Systems II: Express Briefs","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2831950863","display_name":null,"funder_award_id":"19YYJC06812020JDTD0009","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1578320724","https://openalex.org/W1952174976","https://openalex.org/W2004176908","https://openalex.org/W2028584401","https://openalex.org/W2098674248","https://openalex.org/W2099273164","https://openalex.org/W2099464104","https://openalex.org/W2106793162","https://openalex.org/W2108816505","https://openalex.org/W2119580056","https://openalex.org/W2129629082","https://openalex.org/W2143643945","https://openalex.org/W2152264220","https://openalex.org/W2258782427","https://openalex.org/W2293909378","https://openalex.org/W2480818744","https://openalex.org/W2766518281","https://openalex.org/W2911181712","https://openalex.org/W2913484923","https://openalex.org/W2955723955","https://openalex.org/W3014798951","https://openalex.org/W3033485379","https://openalex.org/W3084304036","https://openalex.org/W4243330440"],"related_works":["https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2157134024","https://openalex.org/W156274020","https://openalex.org/W4388903858","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2064270814","https://openalex.org/W2286538174"],"abstract_inverted_index":{"In":[0,45],"practical":[1],"applications,":[2],"the":[3,16,26,30,40,49,57,63,69,76,80,91,98,101,106,112,119,129,138,141,149,153,160,166,169],"impulse":[4,72,108,144],"responses":[5],"(IRs)":[6],"of":[7,29,48,59,71,90,100,111,131,143,152,168],"some":[8],"network":[9],"echo":[10],"paths":[11],"are":[12,54],"blocksparse":[13],"(BS),":[14],"while":[15],"traditional":[17],"proportionate":[18,121],"and":[19,104,117,158],"zero":[20],"attraction":[21],"algorithms":[22,53],"do":[23,35],"not":[24,36],"consider":[25],"prior":[27],"sparsity":[28,99],"BS":[31,51,102,120],"system,":[32,103],"so":[33,62],"they":[34],"perform":[37],"well":[38,136],"in":[39,68,140,156],"block-sparse":[41],"system":[42],"identification":[43],"(BSSI).":[44],"addition,":[46],"most":[47],"current":[50],"filtering":[52],"based":[55],"on":[56],"assumption":[58],"Gaussian":[60],"noise,":[61],"performance":[64,151],"will":[65],"deteriorate":[66],"seriously":[67],"background":[70],"noise.":[73,145],"To":[74],"overcome":[75],"shortcoming,":[77],"we":[78,147],"use":[79],"mixed":[81],"<inline-formula":[82],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[84],"<tex-math":[85],"notation=\"LaTeX\">$l_{2,1}":[86],"$":[87],"</tex-math></inline-formula>":[88],"norm":[89],"filter":[92],"weight":[93],"vector":[94],"to":[95,115],"fully":[96],"tap":[97],"combine":[105],"anti":[107],"noise":[109],"characteristic":[110],"M-estimate":[113,125],"function":[114],"design":[116],"derive":[118],"normalized":[122],"least":[123],"mean":[124,150],"(BSPNLMM)":[126],"algorithm":[127,155,172],"from":[128],"perspective":[130],"basis":[132],"pursuit":[133],"(BP),":[134],"which":[135],"realizes":[137],"BSSI":[139],"presence":[142],"Then,":[146],"analyze":[148],"BSPNLMM":[154,171],"detail":[157],"give":[159],"stable":[161],"step":[162],"size":[163],"bound.":[164],"Finally,":[165],"superiority":[167],"proposed":[170],"is":[173],"verified":[174],"by":[175],"numerical":[176],"simulations":[177]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
