Antiderivative antialiasing, Lagrange interpolation and spectral flatness

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorBilbao, Stefanen_US
dc.contributor.authorEsqueda Flores, Fabianen_US
dc.contributor.authorVälimäki, Vesaen_US
dc.contributor.departmentUniversity of Edinburghen_US
dc.contributor.departmentDept Signal Process and Acousten_US
dc.date.accessioned2018-12-10T10:23:03Z
dc.date.available2018-12-10T10:23:03Z
dc.date.issued2017-10-15en_US
dc.description.abstractAliasing is major problem in any audio signal processing chain involving nonlinearity. The usual approach to antialiasing involves operation at an oversampled rate-usually 4 to 8 times an audio sample rate. Recently, a new approach to antialiasing in the case of memoryless nonlinearities has been proposed, which relies on operations over the antiderivative of the nonlinear function, and which allows for antialiasing at audio or near-audio rates, and without regard to the particular form of the nonlinearity (i.e., polynomial, or hard clipping). Such techniques may be deduced through an application of Lagrange interpolation over unequally-spaced values, and, furthermore, may be constrained to behave as spectrally transparent “throughs” for nonlinearities which reduce to linear at low signal amplitudes. Numerical results are presented.en
dc.description.versionPeer revieweden
dc.format.extent141-145
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationBilbao , S , Esqueda Flores , F & Välimäki , V 2017 , Antiderivative antialiasing, Lagrange interpolation and spectral flatness . in Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) . IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , IEEE , New Paltz, NY, USA , pp. 141-145 , IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , New Paltz , United States , 15/10/2017 . https://doi.org/10.1109/WASPAA.2017.8170011en
dc.identifier.doi10.1109/WASPAA.2017.8170011en_US
dc.identifier.isbn978-1-5386-1632-1
dc.identifier.issn1947-1629
dc.identifier.otherPURE UUID: 89c5c167-db06-4664-a4c2-19c82d2a6f87en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/89c5c167-db06-4664-a4c2-19c82d2a6f87en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/27504079/ELEC_Bilbao2017_Antiderivative_WASPAA_final_version.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/35144
dc.identifier.urnURN:NBN:fi:aalto-201812106159
dc.language.isoenen
dc.relation.ispartofIEEE Workshop on Applications of Signal Processing to Audio and Acousticsen
dc.relation.ispartofseriesProceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)en
dc.relation.ispartofseriesIEEE Workshop on Applications of Signal Processing to Audio and Acousticsen
dc.rightsopenAccessen
dc.subject.keywordAcoustic signal processingen_US
dc.subject.keywordinterpolationen_US
dc.subject.keywordAliasingen_US
dc.titleAntiderivative antialiasing, Lagrange interpolation and spectral flatnessen
dc.typeConference article in proceedingsfi
dc.type.versionacceptedVersion
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