{"id":"https://openalex.org/W2785763775","doi":"https://doi.org/10.1109/apsipa.2017.8282174","title":"Active enumeration of local minima for IIR filter design using PSO","display_name":"Active enumeration of local minima for IIR filter design using PSO","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785763775","doi":"https://doi.org/10.1109/apsipa.2017.8282174","mag":"2785763775"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5113974812","display_name":"Kenzo Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenzo Yamamoto","raw_affiliation_strings":["School of Engineering, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109908368","display_name":"Kenji Suyama","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Suyama","raw_affiliation_strings":["School of Engineering, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"School of Engineering, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113974812"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.4802,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65256956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9904000163078308,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/maxima-and-minima","display_name":"Maxima and minima","score":0.8564412593841553},{"id":"https://openalex.org/keywords/infinite-impulse-response","display_name":"Infinite impulse response","score":0.7709070444107056},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7184080481529236},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6384648680686951},{"id":"https://openalex.org/keywords/penalty-method","display_name":"Penalty method","score":0.5985585451126099},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5646811127662659},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.509888768196106},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.44881975650787354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4370401203632355},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43612033128738403},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4353598952293396},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3762676417827606},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.2953985929489136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13167870044708252}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8564412593841553},{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.7709070444107056},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7184080481529236},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6384648680686951},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.5985585451126099},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5646811127662659},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.509888768196106},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.44881975650787354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4370401203632355},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43612033128738403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4353598952293396},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3762676417827606},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.2953985929489136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13167870044708252},{"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1966841646","https://openalex.org/W2111142067","https://openalex.org/W2127203855","https://openalex.org/W2135928115","https://openalex.org/W2152195021","https://openalex.org/W2156903708","https://openalex.org/W2157582952","https://openalex.org/W2158463342","https://openalex.org/W2289344356"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W2909957174","https://openalex.org/W3188646203","https://openalex.org/W2105527480","https://openalex.org/W4320035781","https://openalex.org/W136674370","https://openalex.org/W2052387497","https://openalex.org/W4246278799","https://openalex.org/W2018668003"],"abstract_inverted_index":{"In":[0,19,59,83,101],"this":[1,60,102],"paper,":[2],"a":[3,48,62,80,87,104,109,118,123,129],"design":[4,23,133],"method":[5,65,106],"using":[6,93],"PSO":[7,38],"(Particle":[8],"Swarm":[9],"Optimization)":[10],"for":[11,68,117],"IIR":[12,21],"(Infinite":[13],"Impulse":[14],"Response)":[15],"filters":[16],"is":[17,35,39,66,76,115,126],"studied.":[18],"an":[20,112],"filter":[22],"problem,":[24],"many":[25],"local":[26,46,49,71],"minima":[27],"exist":[28],"in":[29,121],"its":[30,56],"objective":[31],"function.":[32],"Although":[33],"it":[34,75,96],"well-known":[36],"that":[37],"one":[40],"of":[41,141],"stochastic":[42],"methods":[43],"to":[44,55,78,128,137],"enumerate":[45],"minima,":[47],"minimum":[50,72],"stagnation":[51],"may":[52],"occur":[53],"due":[54],"strong":[57],"directivity.":[58],"study,":[61,103],"penalty":[63,81,88,124],"function":[64],"used":[67],"avoiding":[69],"the":[70,139,142],"stagnation.":[73],"Then,":[74],"important":[77],"decide":[79],"range.":[82],"our":[84],"previous":[85],"method,":[86],"range":[89,125],"was":[90],"determined":[91],"by":[92],"multi-swarms.":[94],"However,":[95],"requires":[97],"high":[98],"computational":[99],"cost.":[100],"novel":[105],"which":[107,122],"repeats":[108],"diversification":[110],"and":[111],"intensification":[113],"alternatively":[114],"proposed":[116,143],"single-swarm":[119],"PSO,":[120],"fixed":[127],"small":[130],"value.":[131],"Several":[132],"examples":[134],"are":[135],"shown":[136],"present":[138],"effectiveness":[140],"method.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
