Concept
Ondelette
Publications associées (547)
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems
The usual explanation of the efficacy of wavelet-based methods hinges on the sparsity of many real-world objects in the wavelet domain. Yet, standard wavelet-shrinkage techniques for sparse reconstruction are not competitive in practice, one reason being t ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023SELF-SUPERVISED ISOTROPIC SUPERRESOLUTION FETAL BRAIN MRI
Michaël Unser, Meritxell Bach Cuadra
Superresolution T2-weighted fetal-brain magnetic-resonance imaging (FBMRI) traditionally relies on the availability of several orthogonal low-resolution series of 2-dimensional thick slices (volumes). In practice, only a few low-resolution volumes are acqu ...
New York2023Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Olga Fink, Gaëtan Michel Frusque, Tianfu Li, Qi Li, Baorui Dai
The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditions, di ...
2023Learnable Wavelet Transform and Domain Adversarial Learning for Enhanced Bearing Fault Diagnosis
Olga Fink, Gaëtan Michel Frusque, Qi Li, Baorui Dai
The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditions, di ...
Research Publishing2023DFT plus U-type functional derived to explicitly address the flat plane condition
A DFT+U-type corrective functional is derived from first principles to enforce the flat plane condition on localized subspaces, thus dispensing with the need for an ad hoc derivation from the Hubbard model. Small, molecular test systems at the dissociated ...
AMER PHYSICAL SOC2023Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets
Daniel Kuhn, Mengmeng Li, Tobias Sutter
We propose a policy gradient algorithm for robust infinite-horizon Markov Decision Processes (MDPs) with non-rectangular uncertainty sets, thereby addressing an open challenge in the robust MDP literature. Indeed, uncertainty sets that display statistical ...
2023JPEG AIC-3 Dataset: Towards Defining the High Quality to Nearly Visually Lossless Quality Range
Touradj Ebrahimi, Michela Testolina, Davi Nachtigall Lazzarotto, Vlad Hosu
Visual data play a crucial role in modern society, and the rate at which images and videos are acquired, stored, and exchanged every day is rapidly increasing. Image compression is the key technology that enables storing and sharing of visual content in an ...
2023Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
Olga Fink, Gaëtan Michel Frusque
Capturing high-frequency data concerning the condition of complex systems, e.g. by acoustic monitoring, has become increasingly prevalent. Such high-frequency signals typically contain time dependencies ranging over different time scales and different type ...
2022Optical fibre based quench detection in HTS applications using machine learning classifiers
Nicolo' Riva, Arooj Akbar, Bertrand Dutoit
A Mach-Zehnder Interferometer (MZI) based optical fibre sensing technique, developed and patented by EPFL, is an efficient and economical way to detect hotspots in High Temperature Superconductor (HTS) applications. Due to the MZI sensitivity being a compo ...
2022Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery
Fault diagnosis plays an essential role in reducing the maintenance costs of rotating machinery manufacturing systems. In many real applications of fault detection and diagnosis, data tend to be imbalanced, meaning that the number of samples for some fault ...
MDPI2022