Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the gates of the LTI system to evaluate convo-lution integrals, though this is often computationally demanding. To address this, a segment fast convolution (SFC) method has been recently introduced, leveraging piecewise constant (PW C) approximations of impulse responses to speed up the computation. This work proposes an extension of this method, which relies on a piecewise linear (PWL) approximation of the port impulse responses of LTI circuits. Additionally, a quasi-recursive algorithm for the convolution calculation is developed, which allows the reduction of the required number of operations and achieves significant speed improvements.

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Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999969
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Giulio Antonini, Roberto Valentini, Piergiuseppe Di Marco, Giuseppe Pettanice et al.
Neural Networks and Applications
article

Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits

Giulio Antonini, Roberto Valentini, Piergiuseppe Di Marco, Giuseppe Pettanice, Fortunato Santucci
article en

Abstract

Time-domain macromodeling is a powerful technique for generating compact models of linear time-invariant (LTI) circuits. A common approach involves computing the port impulse response at the gates of the LTI system to evaluate convo-lution integrals, though this is often computationally demanding. To address this, a segment fast convolution (SFC) method has been recently introduced, leveraging piecewise constant (PW C) approximations of impulse responses to speed up the computation. This work proposes an extension of this method, which relies on a piecewise linear (PWL) approximation of the port impulse responses of LTI circuits. Additionally, a quasi-recursive algorithm for the convolution calculation is developed, which allows the reduction of the required number of operations and achieves significant speed improvements.

University of L'Aquila (IT)
European Commission
Openalex Percentile: Top 95%
Neural Networks and Applications
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Semi-Recursive Convolution Schemes for Macromodeling of Time-Invariant Linear Circuits — Giulio Antonini, Roberto Valentini, et al. · (2025) | TGRS Research Map | TGRS