Combined derivative/antiderivative antialiasing
Publication date
2022
Document type
Konferenzbeitrag
Author
Organisational unit
Conference
25th International Conference on Digital Audio Effects
Publisher
Universität für Musik und darstellende Kunst Wien
Book title
Proceedings of the 25th International Conference on Digital Audio Effects (DAFx20in22)
First page
86
Last page
93
Peer-reviewed
✅
Part of the university bibliography
✅
Language
English
Abstract
Nonlinear systems play an important role in musical signal processing, but their digital implementation suffers from the occurrence of aliasing distortion. Consequently, various aliasing reduction methods have been proposed in the literature. In this work, a novel approach is examined that uses samples of a signal’s derivative in addition to the signal’s samples themselves. This allows some aliasing reduction, but is usually insufficient on its own. However, it can elegantly and fruitfully be combined with antiderivative antialiasing to obtain an effective method. Unfortunately, it still compares unfavorably to oversampled antiderivative antialiasing. It may therefore be regarded as a negative result, but it may hopefully still form a basis for further developments.
Description
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Version
Published version
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