{"id":"https://openalex.org/W2127486666","doi":"https://doi.org/10.1109/tcsi.2012.2215742","title":"WLS Design of Sparse FIR Digital Filters","display_name":"WLS Design of Sparse FIR Digital Filters","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2127486666","doi":"https://doi.org/10.1109/tcsi.2012.2215742","mag":"2127486666"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2012.2215742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2012.2215742","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 I: Regular Papers","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/A5028119374","display_name":"Aimin Jiang","orcid":"https://orcid.org/0000-0002-9181-934X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aimin Jiang","raw_affiliation_strings":["College of Computer and Information Engineering, Hohai University, Changzhou Campus, Changzhou, China","College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, Changzhou Campus, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Hohai University, Changzhou, China#TAB#","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082995815","display_name":"Hon Keung Kwan","orcid":"https://orcid.org/0000-0003-0173-1625"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hon Keung Kwan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada","Dept. of Electr. & Comput. Eng, Univ. of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028119374"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":2.9937,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.9269062,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"60","issue":"1","first_page":"125","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9998999834060669,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6681504845619202},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.546773374080658},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5080492496490479},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.49419572949409485},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.4901371896266937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4610731899738312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46050024032592773},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.4418475031852722},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43424153327941895},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4275766611099243}],"concepts":[{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6681504845619202},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.546773374080658},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5080492496490479},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.49419572949409485},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.4901371896266937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4610731899738312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46050024032592773},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.4418475031852722},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43424153327941895},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4275766611099243},{"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/tcsi.2012.2215742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2012.2215742","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"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 I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1551416514","https://openalex.org/W1964730816","https://openalex.org/W1967073510","https://openalex.org/W1999174140","https://openalex.org/W1999913571","https://openalex.org/W2016278923","https://openalex.org/W2018485278","https://openalex.org/W2023170313","https://openalex.org/W2046267005","https://openalex.org/W2085092712","https://openalex.org/W2114002929","https://openalex.org/W2114161939","https://openalex.org/W2126451471","https://openalex.org/W2127097528","https://openalex.org/W2132847426","https://openalex.org/W2135481356","https://openalex.org/W2135598174","https://openalex.org/W2148714550","https://openalex.org/W2151479790","https://openalex.org/W2154404032","https://openalex.org/W2158753094","https://openalex.org/W2161135496","https://openalex.org/W2166879087","https://openalex.org/W2169539839","https://openalex.org/W2169687753","https://openalex.org/W2169792033","https://openalex.org/W2296319761","https://openalex.org/W2544253271","https://openalex.org/W2551992911","https://openalex.org/W3149625293","https://openalex.org/W4245023137","https://openalex.org/W4250589301","https://openalex.org/W6671979896","https://openalex.org/W6680208389","https://openalex.org/W6681946484","https://openalex.org/W6682519438"],"related_works":["https://openalex.org/W2810377961","https://openalex.org/W126808228","https://openalex.org/W1505918581","https://openalex.org/W2046083070","https://openalex.org/W2031512523","https://openalex.org/W2379702749","https://openalex.org/W1751484597","https://openalex.org/W2167334192","https://openalex.org/W1902114972","https://openalex.org/W4308935600"],"abstract_inverted_index":{"In":[0],"this":[1,27,122,162],"paper,":[2],"we":[3],"propose":[4],"a":[5,40,91,97,117],"novel":[6],"algorithm":[7,81,150],"for":[8,72],"sparse":[9,20,68],"finite":[10],"impulse":[11],"response":[12],"(FIR)":[13],"filter":[14,22,36],"designs.":[15],"The":[16,52,74],"objective":[17],"of":[18,34,77,93,101,156,168],"the":[19,32,49,59,78,86,130,148,166,169],"digital":[21],"design":[23,54,80,171],"problem":[24,89],"considered":[25],"in":[26,67,96,112,121,161],"paper":[28,163],"is":[29,56,82,151],"to":[30,39,83,90,136,164],"reduce":[31],"number":[33],"nonzero-valued":[35],"coefficients,":[37],"subject":[38],"weighted":[41],"least-squares":[42],"(WLS)":[43],"approximation":[44],"error":[45],"constraint":[46],"imposed":[47],"on":[48],"frequency":[50],"domain.":[51],"proposed":[53,79,149,170],"method":[55],"inspired":[57],"by":[58,116],"iterative":[60,114],"shrinkage/thresholding":[61],"(IST)":[62],"algorithms,":[63],"which":[64],"are":[65,133,159],"used":[66],"and":[69,109],"redundant":[70],"representation":[71],"signals.":[73],"basic":[75],"idea":[76],"successively":[84],"transform":[85],"original":[87],"nonconvex":[88],"series":[92],"constrained":[94],"subproblems":[95,105],"simpler":[98],"form.":[99],"Despite":[100],"their":[102,137],"nonconvexity,":[103],"these":[104],"can":[106,126],"be":[107,127],"efficiently":[108],"reliably":[110],"solved":[111],"each":[113],"step":[115],"numerical":[118,157],"approach":[119],"developed":[120],"paper.":[123],"Furthermore,":[124],"it":[125],"demonstrated":[128],"that":[129],"obtained":[131],"solutions":[132],"essentially":[134],"optimal":[135],"respective":[138],"subproblems.":[139],"Since":[140],"its":[141],"major":[142],"part":[143],"only":[144],"involves":[145],"scalar":[146],"operations,":[147],"computationally":[152],"efficient.":[153],"Three":[154],"sets":[155],"examples":[158],"presented":[160],"illustrate":[165],"effectiveness":[167],"algorithm.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
