Publications related to TV-based spline reconstruction with Fourier measurements: Uniqueness and convergence of grid-based methods

Related publications (10)

On fundamental aspects of quantum extreme learning machines

Weijie Xiong, Mehrad Sahebi, Giorgio Facelli, Zoë Holmes, Thanasilp Supanut

Quantum extreme learning machines (QELMs) have emerged as a promising framework for quantum machine learning. Their appeal lies in the rich feature map induced by the dynamics of a quantum substrate-the quantum reservoir-and the efficient post-measurement ...

SPRINGERNATURE2025

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

Volkan Cevher

Since Polyak's pioneering work, heavy ball (HB) momentum has been widely studied in minimization. However, its role in min-max games remains largely unexplored. As a key component of practical min-max algorithms like Adam, this gap limits their effectivene ...

2025

SOGI Interpolated DFT Variant for P and M class Compliance with a two Nominal Period Window

Mario Paolone

An alternative formulation of the second-order generalized integrator (SOGI) IpDFT algorithm is presented to simultaneously comply with both the P and M phasor measurement unit (PMU) performance classes while reducing the observation window from three to t ...

IEEE2024

Accelerating Quadratic Transform and WMMSE

Zepeng Zhang

Fractional programming (FP) arises in various communications and signal processing problems because several key quantities in these fields are fractionally structured, e.g., the Cram & eacute;r-Rao bound, the Fisher information, and the signal-to-interfere ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2024

Reduced order modeling for parametrized generalized Newtonian fluid flows

Ricardo Reyes Sotomayor

Non-Newtonian fluids are present in most manufacturing industry processes. Computa-tional models used to describe the rheological behavior of such materials can be costly due to the non-linear behavior of the viscosity. This work presents a parametrized pr ...

2023

Best-fit constraint equations for coupling mixed-dimension simulation models with wide flange cross sections

Dimitrios Lignos, Albano António De Abreu E Presa De Castro E Sousa, Alexander Riley Hartloper

A new mixed-dimension coupling method is formulated for members with (bi-symmetric) wide flange cross sections based on the idea of least squares transformations between two sets of point clouds. This coupling method imposes the minimum number of constrain ...

ELSEVIER2022

Hydrodynamic-driven morphogenesis of karst draperies: spatio-temporal analysis of the two-dimensional impulse response

François Gallaire, Matthieu Wyart, Pier Giuseppe Ledda, Gaëtan Pierre Clément Lerisson

We study the role of hydrodynamic instabilities in the morphogenesis of some typical karst draperies structures encountered in limestone caves. The problem is tackled using the long wave approximation for the fluid film that flows under an inclined substra ...

Cambridge University Press2021

Coupling of non-conforming trimmed isogeometric Kirchhoff-Love shells via a projected super-penalty approach

Annalisa Buffa, Luca Coradello

Penalty methods have proven to be particularly effective for achieving the required C-1-continuity in the context of multi patch isogeometric Kirchhoff-Love shells. Due to their conceptual simplicity, these algorithms are readily applicable to the displace ...

ELSEVIER SCIENCE SA2021

Quantum Anomalies via Differential Properties of Lebesgue-Feynman Generalized Measures

Tudor Ratiu

We address the problem concerning the origin of quantum anomalies, which has been the source of disagreement in the literature. Our approach is novel as it is based on the differentiability properties of families of generalized measures. To this end, we in ...

MAIK NAUKA/INTERPERIODICA/SPRINGER2020

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Rico Krüger

This paper i) compares parametric and semi-parametric representations of unobserved heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer distributions of willingness to pay for features of shared automated vehicle (SAV ...

2020