Time-varying circuits, either due to inherent physical phenomena or due to external user interactions, are ubiquitous, especially in audio processing gear. Examples of such circuits include amplification stages based on a single Bipolar Junction Transistor (BJT) with time-varying controls that adjust, for example, the transistor biasing point. In this manuscript, we extend a previously proposed Wave Digital (WD) methodology for the fully explicit simulation of circuits incorporating a single nonlinear two-port element to accommodate time-varying circuits. To this end, we introduce a novel definition for the explicit BJT WD model, using a nonlinear vector wave scattering equation implemented through a neural network architecture. The proposed approach is validated through the discrete-time simulation of a fuzz guitar pedal with two potentiometers, achieving accuracy levels comparable to standard circuit simulation software.

Explicit Neural Network-Based Modeling of Time-Varying Circuits with a Single BJT in the Wave Digital Domain

Massi, Oliviero;Giampiccolo, Riccardo;Bernardini, Alberto
2025-01-01

Abstract

Time-varying circuits, either due to inherent physical phenomena or due to external user interactions, are ubiquitous, especially in audio processing gear. Examples of such circuits include amplification stages based on a single Bipolar Junction Transistor (BJT) with time-varying controls that adjust, for example, the transistor biasing point. In this manuscript, we extend a previously proposed Wave Digital (WD) methodology for the fully explicit simulation of circuits incorporating a single nonlinear two-port element to accommodate time-varying circuits. To this end, we introduce a novel definition for the explicit BJT WD model, using a nonlinear vector wave scattering equation implemented through a neural network architecture. The proposed approach is validated through the discrete-time simulation of a fuzz guitar pedal with two potentiometers, achieving accuracy levels comparable to standard circuit simulation software.
2025
2025 IEEE International Symposium on Circuits and Systems, ISCAS 2025
9798350356830
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1293368
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