In this work we solve, for given bounded operators $ B, C $ and Hilbert--Schmidt operator $
M $ acting on potentially infinite-dimensional separable Hilbert spaces, the reduced rank …

This paper describes a new framework for solving inverse tensor problems for denoising
data. This inverse tensor problem can be represented as a least-squares problem of a linear …

We propose two techniques for the fast numerical implementation of a random vector
transform within Wiener filtering paradigm. In signal processing terminology, the transform is …

Matrix perturbation bounds play an essential role in the design and analysis of spectral
algorithms. In this paper, we use a" contour bootstrapping" argument to derive several new …

In this paper, we introduce the FroImPro toolbox, a novel MATLAB toolbox designed for
image processing based on the Frobenius norm. Built upon a mathematical-computational …

FroImPro Toolbox es un conjunto de funciones desarrolladas en MATLAB por parte de los
autores de la ponencia, para resolver un conjunto de problemas en procesamiento de …

Generación de un marco matemático-computacional para los problemas de minimización
en el área de procesamiento de señales cuya formulación involucra la norma de Frobenius …