{"id":"https://openalex.org/W2398703324","doi":"https://doi.org/10.1109/icassp.2016.7471738","title":"Efficient target-response interpolation for a graphic equalizer","display_name":"Efficient target-response interpolation for a graphic equalizer","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2398703324","doi":"https://doi.org/10.1109/icassp.2016.7471738","mag":"2398703324"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5056031998","display_name":"Jose A. Belloch","orcid":"https://orcid.org/0000-0002-2595-1828"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose A. Belloch","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Universitat Jaume I Castell\u00f3n de la Plana, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Universitat Jaume I Castell\u00f3n de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021963945","display_name":"Vesa V\u00e4lim\u00e4ki","orcid":"https://orcid.org/0000-0002-7869-292X"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Vesa Valimaki","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Universitat Jaume I Castell\u00f3n de la Plana, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Universitat Jaume I Castell\u00f3n de la Plana, Spain","institution_ids":["https://openalex.org/I10902133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2763,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80392847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"564","last_page":"568"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9991999864578247,"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":0.9976999759674072,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010934948921204},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.665523886680603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4652690887451172},{"id":"https://openalex.org/keywords/equalizer","display_name":"Equalizer","score":0.45029541850090027},{"id":"https://openalex.org/keywords/spline-interpolation","display_name":"Spline interpolation","score":0.42347341775894165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1742662489414215},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.17271485924720764},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.10419535636901855},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08185279369354248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010934948921204},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.665523886680603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4652690887451172},{"id":"https://openalex.org/C67545415","wikidata":"https://www.wikidata.org/wiki/Q5384218","display_name":"Equalizer","level":3,"score":0.45029541850090027},{"id":"https://openalex.org/C31447003","wikidata":"https://www.wikidata.org/wiki/Q545002","display_name":"Spline interpolation","level":3,"score":0.42347341775894165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1742662489414215},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.17271485924720764},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.10419535636901855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08185279369354248},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7471738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori.uji.es:10234/163420","is_oa":false,"landing_page_url":"http://hdl.handle.net/10234/163420","pdf_url":null,"source":{"id":"https://openalex.org/S4306400303","display_name":"Repositori UJI (Universitat Jaume I)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I10902133","host_organization_name":"Universitat Jaume I","host_organization_lineage":["https://openalex.org/I10902133"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4675818290","display_name":null,"funder_award_id":"TIN2011-23283","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G7702789587","display_name":null,"funder_award_id":"TIN2014-53495-R","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321394","display_name":"Aalto-Yliopisto","ror":"https://ror.org/020hwjq30"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W33557658","https://openalex.org/W1488288193","https://openalex.org/W1489897981","https://openalex.org/W1493287061","https://openalex.org/W1507690054","https://openalex.org/W1514271089","https://openalex.org/W1522053603","https://openalex.org/W1523691202","https://openalex.org/W1529439792","https://openalex.org/W1565575423","https://openalex.org/W1566405251","https://openalex.org/W1754016561","https://openalex.org/W1818783353","https://openalex.org/W1971947347","https://openalex.org/W1977838780","https://openalex.org/W2025148708","https://openalex.org/W2074471270","https://openalex.org/W2078806005","https://openalex.org/W2081126987","https://openalex.org/W2157494358","https://openalex.org/W2196702302","https://openalex.org/W2296021845","https://openalex.org/W4237974662","https://openalex.org/W4285719527","https://openalex.org/W6629187922","https://openalex.org/W6629321051","https://openalex.org/W6630646037","https://openalex.org/W6631251513","https://openalex.org/W6631381413","https://openalex.org/W6633917216","https://openalex.org/W6634050808","https://openalex.org/W6638447680","https://openalex.org/W6687204690","https://openalex.org/W6697412852"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"graphic":[1,27],"equalizer":[2,28],"is":[3,16,77,130,138],"an":[4,86,121,133],"adjustable":[5],"filter":[6],"in":[7,80,141],"which":[8,76,137],"the":[9,20,40,48,91,96,110,114,127],"command":[10,49],"gain":[11],"of":[12,19,22,89,113,126],"each":[13],"frequency":[14,45],"band":[15],"practically":[17],"independent":[18],"gains":[21],"other":[23],"bands.":[24],"Designing":[25],"a":[26,30,35,78],"with":[29,105],"high":[31],"precision":[32],"requires":[33],"evaluating":[34],"target":[36,92,115],"response":[37,42,93,116],"that":[38],"interpolates":[39],"magnitude":[41],"at":[43],"several":[44],"points":[46],"between":[47],"gains.":[50],"Good":[51],"accuracy":[52],"has":[53,120],"been":[54],"previously":[55],"achieved":[56],"by":[57,117],"using":[58],"polynomial":[59],"interpolation":[60],"methods":[61,71],"such":[62],"as":[63],"cubic":[64],"Hermite":[65],"or":[66],"spline":[67],"interpolation.":[68],"However,":[69],"these":[70],"require":[72],"large":[73],"computational":[74],"resources,":[75],"limitation":[79],"real-time":[81],"applications.":[82],"This":[83,99],"paper":[84],"proposes":[85],"efficient":[87],"way":[88],"computing":[90,111],"without":[94],"sacrificing":[95],"approximation":[97],"accuracy.":[98],"new":[100],"approach":[101],"called":[102],"Linear":[103],"Interpolation":[104],"Constant":[106],"Segments":[107],"(LICS)":[108],"reduces":[109],"time":[112],"55%":[118],"and":[119],"intrinsic":[122],"parallel":[123],"structure.":[124],"Performance":[125],"LICS":[128],"method":[129],"assessed":[131],"on":[132],"ARM":[134],"Cortex-A7":[135],"core,":[136],"commonly":[139],"used":[140],"embedded":[142],"systems.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}