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Open AccessArticle

Antiderivative Antialiasing for Stateful Systems

Department of Signal Processing and Communication, Helmut Schmidt University, 22043 Hamburg, Germany
Proceedings of the 22nd International Conference on Digital Audio Effects (DAFx-19).
Appl. Sci. 2020, 10(1), 20; https://doi.org/10.3390/app10010020
Received: 21 November 2019 / Revised: 13 December 2019 / Accepted: 16 December 2019 / Published: 18 December 2019
(This article belongs to the Special Issue Digital Audio Effects)
Nonlinear systems, such as guitar distortion effects, play an important role in musical signal processing. One major problem encountered in digital nonlinear systems is aliasing distortion. Consequently, various aliasing reduction methods have been proposed in the literature. One of these is based on using the antiderivative of the nonlinearity and has proven effective, but is limited to memoryless systems. In this work, it is extended to a class of stateful systems which includes but is not limited to systems with a single one-port nonlinearity. Two examples from the realm of virtual analog modeling show its applicability to and effectiveness for commonly encountered guitar distortion effect circuits. View Full-Text
Keywords: antialiasing; aliasing mitigation; nonlinear signal processing; virtual analog modeling antialiasing; aliasing mitigation; nonlinear signal processing; virtual analog modeling
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MDPI and ACS Style

Holters, M. Antiderivative Antialiasing for Stateful Systems. Appl. Sci. 2020, 10, 20. https://doi.org/10.3390/app10010020

AMA Style

Holters M. Antiderivative Antialiasing for Stateful Systems. Applied Sciences. 2020; 10(1):20. https://doi.org/10.3390/app10010020

Chicago/Turabian Style

Holters, Martin. 2020. "Antiderivative Antialiasing for Stateful Systems" Appl. Sci. 10, no. 1: 20. https://doi.org/10.3390/app10010020

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