Interpolation filters for antiderivative antialiasing

Victor Zheleznov*, Stefan Bilbao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Aliasing is an inherent problem in nonlinear digital audio processing which results in undesirable audible artefacts. Antiderivative antialiasing has proved to be an effective approach to mitigate aliasing distortion, and is based on continuous-time convolution of a linearly interpolated distorted signal with antialiasing filter kernels. However, the performance of this method is determined by the properties of interpolation filter. In this work, cubic interpolation kernels for antiderivative antialiasing are considered. For memoryless nonlinearities, aliasing reduction is improved employing cubic interpolation. For stateful systems, numerical simulation and stability analysis with respect to different interpolation kernels remain in favour of linear interpolation.
Original languageEnglish
Title of host publicationProceedings of the 27th International Conference on Digital Audio Effects (DAFx24)
Place of PublicationSurrey, UK
PublisherUniversity of Surrey
Pages360-367
Number of pages8
Publication statusPublished - 7 Sept 2024
Event27th International Conference on Digital Audio Effects - Surrey, United Kingdom
Duration: 2 Sept 20246 Sept 2024

Publication series

NameProceedings of the International Conference on Digital Audio Effects
ISSN (Print)2413-6700
ISSN (Electronic)2413-6689

Conference

Conference27th International Conference on Digital Audio Effects
Country/TerritoryUnited Kingdom
CitySurrey
Period2/09/246/09/24

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