Wave Digital Modeling of Circuits with a Single Variable-µ Pentode based on Neural Networks

Virtual Analog effects refer to the class of digital audio effects that recreate the sound of analog equipment. Vacuum tubes, although old-fashioned, still play a crucial role in defining the distinctive tone of certain audio gear, e.g., guitar amplifiers. Among tubes, variable-µ pentodes stand out for their peculiar nonlinear behavior but are notoriously difficult to simulate using conventional methods. In this article, we extend a method previously proposed for the simulation of circuits containing a single nonlinear two-port element to the case of circuits containing a single variable-µ pentode. We show that by combining Wave Digital Filters based on vector waves and neural networks, we are able to solve said class of circuits in a fully explicit fashion, contrary to what can be done in standard simulators. Our approach is validated through the simulation of the Dogzilla preamplifier stage, offering a promising pathway for the efficient and accurate simulation of circuits containing nonlinear elements characterized by an arbitrary number of ports.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044204
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
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article

Wave Digital Modeling of Circuits with a Single Variable-µ Pentode based on Neural Networks

Riccardo Giampiccolo, Oliviero Massi, Alberto Bernardini, Genís Casanova
Advanced Research in Systems and Signal Processing
article

Wave Digital Modeling of Circuits with a Single Variable-µ Pentode based on Neural Networks

Riccardo Giampiccolo, Oliviero Massi, Alberto Bernardini, Genís Casanova
article en

Abstract

Virtual Analog effects refer to the class of digital audio effects that recreate the sound of analog equipment. Vacuum tubes, although old-fashioned, still play a crucial role in defining the distinctive tone of certain audio gear, e.g., guitar amplifiers. Among tubes, variable-µ pentodes stand out for their peculiar nonlinear behavior but are notoriously difficult to simulate using conventional methods. In this article, we extend a method previously proposed for the simulation of circuits containing a single nonlinear two-port element to the case of circuits containing a single variable-µ pentode. We show that by combining Wave Digital Filters based on vector waves and neural networks, we are able to solve said class of circuits in a fully explicit fashion, contrary to what can be done in standard simulators. Our approach is validated through the simulation of the Dogzilla preamplifier stage, offering a promising pathway for the efficient and accurate simulation of circuits containing nonlinear elements characterized by an arbitrary number of ports.

Politecnico di Milano (IT), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 83%
Advanced Research in Systems and Signal Processing
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