Methods for Model Complexity Reduction for the Nonlinear Calibration of Amplifiers Using Volterra Kernels

Methods for Model Complexity Reduction for the Nonlinear Calibration of Amplifiers Using Volterra Kernels

Volterra models allow modeling nonlinear dynamical systems, even though they require the estimation of a large number of parameters and have, consequently, potentially large computational costs. The pruning of Volterra models is thus of fundamental importance to reduce the computational costs of non...

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Bibliographic Details
Main Authors: Francesco Centurelli, Pietro Monsurrò, Giuseppe Scotti, Pasquale Tommasino, Alessandro Trifiletti
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
digital calibration
nonlinear models
complexity reduction
amplifiers
analog circuits
optimal brain surgeon
Online Access:https://www.mdpi.com/2079-9292/11/19/3067

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https://www.mdpi.com/2079-9292/11/19/3067

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