{"id":"https://openalex.org/W2112962626","doi":"https://doi.org/10.1109/icassp.2012.6288670","title":"Minimax design of sparse FIR digital filters","display_name":"Minimax design of sparse FIR digital filters","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2112962626","doi":"https://doi.org/10.1109/icassp.2012.6288670","mag":"2112962626"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/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":["Hohai University, HHU, Changzhou, China","Hohai University, Changzhou Campus, China"],"affiliations":[{"raw_affiliation_string":"Hohai University, HHU, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Hohai University, Changzhou Campus, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","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":["University of Windsor, Windsor, Canada","University of Windsor, Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor, Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]},{"raw_affiliation_string":"University of Windsor, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082927370","display_name":"Yanping Zhu","orcid":"https://orcid.org/0000-0002-8107-0101"},"institutions":[{"id":"https://openalex.org/I4210153482","display_name":"Changzhou University","ror":"https://ror.org/04ymgwq66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153482"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Zhu","raw_affiliation_strings":["Changzhou University, Changzhou, China","Changzhou University, China"],"affiliations":[{"raw_affiliation_string":"Changzhou University, Changzhou, China","institution_ids":["https://openalex.org/I4210153482"]},{"raw_affiliation_string":"Changzhou University, China","institution_ids":["https://openalex.org/I4210153482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359300","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0003-1310-6739"},"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":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["Hohai University, HHU, Changzhou, China","Hohai University, Changzhou Campus, China"],"affiliations":[{"raw_affiliation_string":"Hohai University, HHU, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Hohai University, Changzhou Campus, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028119374"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.2745,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59916091,"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":"3497","last_page":"3500"},"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/T10500","display_name":"Sparse and Compressive Sensing 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/minimax","display_name":"Minimax","score":0.8805880546569824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6905478239059448},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.6575401425361633},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.6517900228500366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5688637495040894},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5490305423736572},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5183528661727905},{"id":"https://openalex.org/keywords/optimal-design","display_name":"Optimal design","score":0.4888412356376648},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46236422657966614},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44234147667884827},{"id":"https://openalex.org/keywords/iterative-design","display_name":"Iterative design","score":0.43352729082107544},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.41362887620925903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4019317030906677},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34573620557785034}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.8805880546569824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6905478239059448},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.6575401425361633},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.6517900228500366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5688637495040894},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5490305423736572},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5183528661727905},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.4888412356376648},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46236422657966614},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44234147667884827},{"id":"https://openalex.org/C106246047","wikidata":"https://www.wikidata.org/wiki/Q4928435","display_name":"Iterative design","level":3,"score":0.43352729082107544},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.41362887620925903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4019317030906677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34573620557785034},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2012.6288670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":13,"referenced_works":["https://openalex.org/W1574645113","https://openalex.org/W1591116419","https://openalex.org/W1967073510","https://openalex.org/W1999174140","https://openalex.org/W2016278923","https://openalex.org/W2046267005","https://openalex.org/W2078204800","https://openalex.org/W2154404032","https://openalex.org/W2169687753","https://openalex.org/W3149625293","https://openalex.org/W4235713725","https://openalex.org/W4250589301","https://openalex.org/W4254546220"],"related_works":["https://openalex.org/W1521933716","https://openalex.org/W3122233919","https://openalex.org/W792023668","https://openalex.org/W2000683594","https://openalex.org/W2019736931","https://openalex.org/W2043511319","https://openalex.org/W2075211605","https://openalex.org/W2077564921","https://openalex.org/W2052798209","https://openalex.org/W2810377961"],"abstract_inverted_index":{"In":[0,38,86],"this":[1,87],"paper,":[2],"we":[3,56],"present":[4],"a":[5,34,41,44,69,96],"novel":[6],"algorithm":[7],"to":[8,32,58,95,134],"design":[9,24,103,108,124,140],"sparse":[10],"FIR":[11,116],"digital":[12],"filters":[13],"in":[14,43],"the":[15,20,23,89,101,115,120,137,145,152,156,162],"minimax":[16,107],"sense.":[17],"To":[18],"tackle":[19],"nonconvexity":[21],"of":[22,50,75,100,139,144,155,164],"problem,":[25],"an":[26],"efficient":[27],"iterative":[28,91,121],"procedure":[29,92,125],"is":[30,47],"developed":[31],"find":[33],"potential":[35],"sparsity":[36,138],"pattern.":[37],"each":[39],"iteration,":[40],"subproblem":[42],"simpler":[45],"form":[46],"constructed.":[48],"Instead":[49],"directly":[51],"resolving":[52],"these":[53,76],"nonconvex":[54],"subproblems,":[55],"resort":[57],"their":[59,83],"respective":[60],"dual":[61,84],"problems.":[62,85],"It":[63],"can":[64,78,93,109,128,148],"be":[65,79,111,129,149],"proved":[66],"that":[67],"under":[68],"weak":[70],"condition,":[71],"globally":[72],"optimal":[73,98],"solutions":[74],"subproblems":[77],"attained":[80],"by":[81,113,119],"solving":[82],"case,":[88],"overall":[90],"converge":[94],"locally":[97],"solution":[99],"original":[102],"problem.":[104],"The":[105,123,142],"real":[106],"then":[110],"achieved":[112],"refining":[114],"filter":[117],"obtained":[118],"procedure.":[122],"described":[126],"above":[127],"repeated":[130],"for":[131],"several":[132],"times":[133],"further":[135],"improve":[136],"results.":[141],"output":[143],"previous":[146],"stage":[147],"used":[150],"as":[151],"initial":[153],"point":[154],"subsequent":[157],"design.":[158],"Simulation":[159],"results":[160],"demonstrate":[161],"effectiveness":[163],"our":[165],"proposed":[166],"algorithm.":[167]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}