{"id":"https://openalex.org/W3115174370","doi":"https://doi.org/10.1109/tencon50793.2020.9293870","title":"Rational Graph Filter Design Using Spectral Transformation and IIR Digital Filter","display_name":"Rational Graph Filter Design Using Spectral Transformation and IIR Digital Filter","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3115174370","doi":"https://doi.org/10.1109/tencon50793.2020.9293870","mag":"3115174370"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5085387617","display_name":"Chien\u2010Cheng Tseng","orcid":"https://orcid.org/0000-0002-4235-8567"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Cheng Tseng","raw_affiliation_strings":["Department of Computer and Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394","https://openalex.org/I4387154394"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085387617"],"corresponding_institution_ids":["https://openalex.org/I4387154394"],"apc_list":null,"apc_paid":null,"fwci":1.5907,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87180089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"247","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9621000289916992,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/chebyshev-filter","display_name":"Chebyshev filter","score":0.7576926350593567},{"id":"https://openalex.org/keywords/2d-filters","display_name":"2D Filters","score":0.7113038301467896},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.6655935645103455},{"id":"https://openalex.org/keywords/infinite-impulse-response","display_name":"Infinite impulse response","score":0.5880276560783386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.538786768913269},{"id":"https://openalex.org/keywords/digital-filter","display_name":"Digital filter","score":0.502669095993042},{"id":"https://openalex.org/keywords/prototype-filter","display_name":"Prototype filter","score":0.4970724880695343},{"id":"https://openalex.org/keywords/active-filter","display_name":"Active filter","score":0.4629095494747162},{"id":"https://openalex.org/keywords/network-synthesis-filters","display_name":"Network synthesis filters","score":0.4560241401195526},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.42799803614616394},{"id":"https://openalex.org/keywords/graph-rewriting","display_name":"Graph rewriting","score":0.42697107791900635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39158838987350464},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3796231746673584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37837138772010803},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.370914101600647},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2734188437461853},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.25185126066207886},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12380543351173401},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09927806258201599}],"concepts":[{"id":"https://openalex.org/C21424316","wikidata":"https://www.wikidata.org/wiki/Q718621","display_name":"Chebyshev filter","level":2,"score":0.7576926350593567},{"id":"https://openalex.org/C100106864","wikidata":"https://www.wikidata.org/wiki/Q16001029","display_name":"2D Filters","level":5,"score":0.7113038301467896},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.6655935645103455},{"id":"https://openalex.org/C183816354","wikidata":"https://www.wikidata.org/wiki/Q665617","display_name":"Infinite impulse response","level":4,"score":0.5880276560783386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.538786768913269},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.502669095993042},{"id":"https://openalex.org/C175742284","wikidata":"https://www.wikidata.org/wiki/Q1415537","display_name":"Prototype filter","level":4,"score":0.4970724880695343},{"id":"https://openalex.org/C85899133","wikidata":"https://www.wikidata.org/wiki/Q557211","display_name":"Active filter","level":3,"score":0.4629095494747162},{"id":"https://openalex.org/C51297928","wikidata":"https://www.wikidata.org/wiki/Q7001207","display_name":"Network synthesis filters","level":2,"score":0.4560241401195526},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.42799803614616394},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.42697107791900635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39158838987350464},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3796231746673584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37837138772010803},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.370914101600647},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2734188437461853},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.25185126066207886},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12380543351173401},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09927806258201599},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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":8,"referenced_works":["https://openalex.org/W1535749512","https://openalex.org/W1991388507","https://openalex.org/W2153349779","https://openalex.org/W2796431263","https://openalex.org/W2895890896","https://openalex.org/W2938821438","https://openalex.org/W2982697215","https://openalex.org/W3109938142"],"related_works":["https://openalex.org/W605224089","https://openalex.org/W1587252745","https://openalex.org/W4313296775","https://openalex.org/W2030625393","https://openalex.org/W2809821017","https://openalex.org/W2026807254","https://openalex.org/W1976430192","https://openalex.org/W1997534378","https://openalex.org/W2087814598","https://openalex.org/W2172024317"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"rational":[3,22,65],"graph":[4,23,66,109],"filters":[5,13],"are":[6,46,68],"designed":[7,74],"by":[8,34,77],"using":[9,35,78],"conventional":[10,40],"IIR":[11,31,41],"digital":[12,32,42,52,75],"and":[14,81,98],"spectral":[15,37,82],"transformation.":[16,38,83],"First,":[17],"the":[18,21,62,73,92,95,99,106],"specification":[19],"of":[20,30,64,72,94,108],"filter":[24,33,43,53,67,76,110],"design":[25,44,50,59,86],"is":[26,88],"converted":[27,51],"to":[28,49,56,90,101,111],"that":[29],"a":[36],"Then,":[39],"methods":[45],"directly":[47],"employed":[48],"without":[54],"needing":[55],"develop":[57],"new":[58],"algorithms.":[60],"Next,":[61],"coefficients":[63],"obtained":[69],"from":[70],"those":[71],"Chebyshev":[79],"polynomials":[80],"Finally,":[84],"one":[85],"example":[87],"demonstrated":[89],"show":[91],"effectiveness":[93],"proposed":[96],"method,":[97],"application":[100],"temperature":[102],"data":[103],"denoising":[104],"illustrates":[105],"usefulness":[107],"practical":[112],"problem.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}