{"id":"https://openalex.org/W2064660110","doi":"https://doi.org/10.1109/apcc.2013.6766029","title":"Regularization selection method for LMS-type sparse multipath channel estimation","display_name":"Regularization selection method for LMS-type sparse multipath channel estimation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2064660110","doi":"https://doi.org/10.1109/apcc.2013.6766029","mag":"2064660110"},"language":"en","primary_location":{"id":"doi:10.1109/apcc.2013.6766029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2013.6766029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 19th Asia-Pacific Conference on Communications (APCC)","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/A5056505424","display_name":"Zhengxing Huang","orcid":"https://orcid.org/0000-0002-2644-8642"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengxing Huang","raw_affiliation_strings":["Department of Software Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027367677","display_name":"Guan Gui","orcid":"https://orcid.org/0000-0003-3888-2881"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Guan Gui","raw_affiliation_strings":["Department of Communication Engineering, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169326","display_name":"Huang An-min","orcid":"https://orcid.org/0000-0002-6299-8115"},"institutions":[{"id":"https://openalex.org/I14748160","display_name":"Jinggangshan University","ror":"https://ror.org/04exd0a76","country_code":"CN","type":"education","lineage":["https://openalex.org/I14748160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anmin Huang","raw_affiliation_strings":["Department of Electronics and Information Engineering, Jinggangshan University, Jian, China","Dept. of Electron. & Inf. Eng., Jinggangshan Univ., Jian, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Information Engineering, Jinggangshan University, Jian, China","institution_ids":["https://openalex.org/I14748160"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Jinggangshan Univ., Jian, China","institution_ids":["https://openalex.org/I14748160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619604","display_name":"Xiang Dong","orcid":"https://orcid.org/0000-0002-5508-6011"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xiang","raw_affiliation_strings":["Department of Software Engineering, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011281064","display_name":"Fumiyuki Adachi","orcid":"https://orcid.org/0000-0002-5416-0718"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumiyki Adachi","raw_affiliation_strings":["Department of Communication Engineering, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Communication Engineering, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056505424"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.8372,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95100116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"649","last_page":"654"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.7313187122344971},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6761451959609985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5901147723197937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5542958974838257},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.526726245880127},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46738162636756897},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.46257972717285156},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4165780544281006},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.37803590297698975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29570358991622925},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.21844038367271423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21490859985351562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1705804467201233}],"concepts":[{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.7313187122344971},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6761451959609985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5901147723197937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5542958974838257},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.526726245880127},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46738162636756897},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.46257972717285156},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4165780544281006},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37803590297698975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29570358991622925},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.21844038367271423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21490859985351562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1705804467201233},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apcc.2013.6766029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apcc.2013.6766029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 19th Asia-Pacific Conference on Communications (APCC)","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":25,"referenced_works":["https://openalex.org/W1538492987","https://openalex.org/W1906200282","https://openalex.org/W1968655205","https://openalex.org/W1989172522","https://openalex.org/W2007752060","https://openalex.org/W2008939017","https://openalex.org/W2015418199","https://openalex.org/W2032792000","https://openalex.org/W2094596480","https://openalex.org/W2098674248","https://openalex.org/W2105195470","https://openalex.org/W2107861471","https://openalex.org/W2135046866","https://openalex.org/W2137628444","https://openalex.org/W2143999174","https://openalex.org/W2145096794","https://openalex.org/W2163137659","https://openalex.org/W2171075378","https://openalex.org/W2296616510","https://openalex.org/W2482792214","https://openalex.org/W2895674046","https://openalex.org/W4250955649","https://openalex.org/W6632076915","https://openalex.org/W6674616871","https://openalex.org/W6681422545"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W1976264255"],"abstract_inverted_index":{"Least":[0],"mean":[1,44,51],"square":[2,45,52],"(LMS)-type":[3],"adaptive":[4,115],"sparse":[5,13,35,80,116],"algorithms":[6],"have":[7,54],"been":[8,55],"attracting":[9],"much":[10],"attention":[11],"on":[12,98],"multipath":[14],"channel":[15,76],"estimation":[16,77],"(SMPC)":[17],"due":[18],"to":[19,140],"their":[20],"two":[21,94],"advantages:":[22],"low":[23],"computational":[24],"complexity":[25],"and":[26,47,79,113,130],"reliability.":[27],"By":[28],"introducing":[29],"\u2113":[30],"<inf":[31],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>":[33],"-norm":[34],"constraint":[36],"function":[37],"into":[38],"LMS":[39],"algorithm,":[40],"both":[41],"zero-attracting":[42,49],"least":[43,50],"(ZA-LMS)":[46],"reweighted":[48],"(RZA-LMS)":[53],"proposed":[56,95,127],"for":[57,128],"SMPC.":[58],"It":[59],"is":[60,69,126],"well":[61],"known":[62],"that":[63],"the":[64,67,93,99,108,142],"performance":[65],"of":[66,144],"SMPC":[68],"decided":[70],"by":[71],"regularization":[72,85],"parameter":[73,86,123],"which":[74],"balances":[75],"error":[78],"penalty":[81],"strength.":[82],"However,":[83],"optimal":[84,121],"selection":[87,124],"has":[88],"not":[89],"yet":[90],"considered":[91],"in":[92,103],"algorithms.":[96,117],"Based":[97],"compressive":[100],"sensing":[101],"theory,":[102],"this":[104],"paper,":[105],"we":[106],"explain":[107],"mathematical":[109],"relationship":[110],"between":[111],"Lasso":[112],"LMS-type":[114],"Later,":[118],"an":[119],"approximate":[120],"regulation":[122],"method":[125],"ZA-LMS":[129],"RZA-LMS,":[131],"respectively.":[132],"Monte":[133],"Carlo":[134],"based":[135],"computer":[136],"simulations":[137],"are":[138],"presented":[139],"show":[141],"effectiveness":[143],"our":[145],"propose":[146],"method.":[147]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}