{"id":"https://openalex.org/W1546808212","doi":"https://doi.org/10.1109/eusipco.2015.7362737","title":"Aliasing reduction in soft-clipping algorithms","display_name":"Aliasing reduction in soft-clipping algorithms","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1546808212","doi":"https://doi.org/10.1109/eusipco.2015.7362737","mag":"1546808212"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007695842","display_name":"Fabi\u00e1n Esqueda","orcid":"https://orcid.org/0000-0003-1753-3084"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Fabian Esqueda","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Espoo, Finland","Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","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/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vesa Valimaki","raw_affiliation_strings":["Dept. of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Espoo, Finland","Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Signal Processing and Acoustics, Aalto University School of Electrical Engineering, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023116667","display_name":"Stefan Bilbao","orcid":"https://orcid.org/0000-0001-5332-9887"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Bilbao","raw_affiliation_strings":["Acoustics and Audio Group, University of Edinburgh, Edinburgh, UK","Acoustics and Audio Group University of Edinburgh Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Acoustics and Audio Group, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Acoustics and Audio Group University of Edinburgh Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4568,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81634251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"48","issue":null,"first_page":"2014","last_page":"2018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.7025614976882935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6376978158950806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682653784751892},{"id":"https://openalex.org/keywords/alias","display_name":"Alias","score":0.5396990180015564},{"id":"https://openalex.org/keywords/anti-aliasing","display_name":"Anti-aliasing","score":0.5185161828994751},{"id":"https://openalex.org/keywords/clipping","display_name":"Clipping (morphology)","score":0.4769774377346039},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.45779258012771606},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43512970209121704},{"id":"https://openalex.org/keywords/nonlinear-distortion","display_name":"Nonlinear distortion","score":0.43203204870224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2886691689491272},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.23864081501960754},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.2356952726840973},{"id":"https://openalex.org/keywords/digital-audio","display_name":"Digital audio","score":0.21182528138160706},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.15529778599739075},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15351682901382446},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.13988780975341797},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1151883602142334},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.0817115306854248}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.7025614976882935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6376978158950806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682653784751892},{"id":"https://openalex.org/C46681722","wikidata":"https://www.wikidata.org/wiki/Q4725589","display_name":"Alias","level":2,"score":0.5396990180015564},{"id":"https://openalex.org/C534633266","wikidata":"https://www.wikidata.org/wiki/Q4774317","display_name":"Anti-aliasing","level":5,"score":0.5185161828994751},{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.4769774377346039},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.45779258012771606},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43512970209121704},{"id":"https://openalex.org/C173413354","wikidata":"https://www.wikidata.org/wiki/Q7049470","display_name":"Nonlinear distortion","level":4,"score":0.43203204870224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2886691689491272},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.23864081501960754},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.2356952726840973},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.21182528138160706},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.15529778599739075},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15351682901382446},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.13988780975341797},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1151883602142334},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0817115306854248},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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":18,"referenced_works":["https://openalex.org/W96364143","https://openalex.org/W326883504","https://openalex.org/W1489573402","https://openalex.org/W1506227094","https://openalex.org/W1552959634","https://openalex.org/W1970328390","https://openalex.org/W1981534370","https://openalex.org/W2057606938","https://openalex.org/W2103525130","https://openalex.org/W2155595938","https://openalex.org/W2242169135","https://openalex.org/W2339173332","https://openalex.org/W2599925973","https://openalex.org/W2914537008","https://openalex.org/W6603952061","https://openalex.org/W6629414630","https://openalex.org/W6633312919","https://openalex.org/W6735348686"],"related_works":["https://openalex.org/W1504255744","https://openalex.org/W2156709612","https://openalex.org/W2044306001","https://openalex.org/W2787928226","https://openalex.org/W1526852205","https://openalex.org/W2088484122","https://openalex.org/W2087544024","https://openalex.org/W2379888591","https://openalex.org/W2138378640","https://openalex.org/W183731308"],"abstract_inverted_index":{"Soft-clipping":[0],"algorithms":[1],"used":[2],"to":[3,14,23],"implement":[4],"musical":[5],"distortion":[6,30],"effects":[7],"are":[8],"major":[9],"sources":[10],"of":[11,55,66,84,111],"aliasing":[12,53,93],"due":[13],"their":[15],"nonlinear":[16,112],"behavior.":[17],"It":[18],"is":[19,39,59],"a":[20,42,46,63],"research":[21],"challenge":[22],"design":[24],"computationally":[25],"efficient":[26],"methods":[27],"for":[28,52],"alias-free":[29,109],"without":[31],"over-sampling.":[32],"In":[33],"the":[34,56,67,77,81,85,105],"proposed":[35,88],"approach,":[36],"soft":[37],"clipping":[38],"decomposed":[40],"into":[41],"hard":[43],"clipper":[44],"and":[45],"low-order":[47],"polynomial":[48,64],"part.":[49],"A":[50],"technique":[51],"reduction":[54],"hard-clipped":[57],"signal":[58],"presented":[60],"based":[61],"on":[62],"approximation":[65],"ban-dlimited":[68],"ramp":[69],"function.":[70],"This":[71,102],"correction":[72],"function":[73],"operates":[74],"by":[75],"quasi-bandlimiting":[76],"discontinuities":[78],"introduced":[79],"in":[80,94],"first":[82,106],"derivative":[83],"signal.":[86],"The":[87],"method":[89],"effectively":[90],"reduces":[91],"perceivable":[92],"soft-clipped":[95],"audio":[96],"signals":[97],"having":[98],"low":[99],"frequency":[100],"content.":[101],"work":[103],"presents":[104],"step":[107],"towards":[108],"implementations":[110],"virtual":[113],"analog":[114],"effects.":[115]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}