Distortion Modeling of Nonlinear Systems Using Ramped-Sines and Lookup Tables
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P. Mayo, and W. Bulla, "Distortion Modeling of Nonlinear Systems Using Ramped-Sines and Lookup Tables," Paper 10249, (2019 October.). doi:
P. Mayo, and W. Bulla, "Distortion Modeling of Nonlinear Systems Using Ramped-Sines and Lookup Tables," Paper 10249, (2019 October.). doi:
Abstract: 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.
@article{mayo2019distortion,
author={mayo, paul and bulla, wesley},
journal={journal of the audio engineering society},
title={distortion modeling of nonlinear systems using ramped-sines and lookup tables},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{mayo2019distortion,
author={mayo, paul and bulla, wesley},
journal={journal of the audio engineering society},
title={distortion modeling of nonlinear systems using ramped-sines and lookup tables},
year={2019},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}
TY - paper
TI - Distortion Modeling of Nonlinear Systems Using Ramped-Sines and Lookup Tables
SP -
EP -
AU - Mayo, Paul
AU - Bulla, Wesley
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
TY - paper
TI - Distortion Modeling of Nonlinear Systems Using Ramped-Sines and Lookup Tables
SP -
EP -
AU - Mayo, Paul
AU - Bulla, Wesley
PY - 2019
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2019
AB - 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.
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, 2019Import into BibTeX
Subject:
Posters: Audio Signal Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=20622