Nonlinear systems identification is used to synthesize black-box models of nonlinear audio effects and as such is a widespread topic of interest within the audio industry. As a variety of implementation algorithms provide a myriad of approaches, questions arise whether there are major functional differences between methods and implementations. This paper presents a novel method for the black-box measurement of distortion characteristic curves and an analysis of the popular “lookup table” implementation of nonlinear effects. Pros and cons of the techniques are examined from a signal processing perspective and the basic limitations and efficiencies of the approaches are discussed.

Authors: Mayo, Paul; Bulla, Wesley
Affiliations: University of Maryland, College Park, MD, USA; Belmont University, Nashville, TN, USA(See document for exact affiliation information.)
AES Convention: 147 (October 2019) Paper Number: 10249
Publication Date: October 8, 2019
Subject: Posters: Audio Signal Processing

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