A Fiber Measurement System with Approximate Deconvolution Based on the Analysis of Fault Clusters in Linearized Bregman Iterations

YG Guzman, F Calliari, GC Amaral… - arXiv preprint arXiv …, 2021 - arxiv.org
Automatic detection of faults in optical fibers is an active area of research that plays a
significant role in the design of reliable and stable optical networks. A fiber measurement …

An Extended Reweighted ℓ 1 Minimization Algorithm for Image Restoration

S Huang, Y Chen, T Qiao - Mathematics, 2021 - mdpi.com
This paper proposes an effective extended reweighted ℓ 1 minimization algorithm (ERMA) to
solve the basis pursuit problem min u∈ R n {|| u|| 1: A u= f} in compressed sensing, where …

[HTML][HTML] Efficient Algorithms for Signal Processing Applications/submitted by Yuneisy Esthela Garcia Guzman

YE Garcia Guzman - 2022 - epub.jku.at
The unprecedented growth of new technologies has introduced many technical challenges
in the last decades. In many cases, conventional signal processing techniques cannot meet …

Smooth Step Detection

GC do Amaral - … Aided Systems Theory–EUROCAST 2022: 18th …, 2023 - books.google.com
We investigate the detection of smooth steps in a measured signal using an algorithm based
on linearized Bregman iterations (LBI). Such smooth steps occur when a trend break does …

Smooth Step Detection

M Lunglmayr, YG Guzman, F Calliari… - … Conference on Computer …, 2022 - Springer
We investigate the detection of smooth steps in a measured signal using an algorithm based
on linearized Bregman iterations (LBI). Such smooth steps occur when a trend break does …