Concept
Wiener filter
Related publications (125)
Removing systematics-induced 21-cm foreground residuals by cross-correlating filtered data
Observations of the redshifted 21-cm signal emitted by neutral hydrogen represent a promising probe of large-scale structure in the universe. However, the cosmological 21-cm signal is challenging to observe due to astrophysical foregrounds which are severa ...
AMER PHYSICAL SOC2022Text as signal. A tutorial with case studies focusing on social media (Twitter)
Sentiment analysis is the automated coding of emotions expressed in text. Sentiment analysis and other types of analyses focusing on the automatic coding of textual documents are increasingly popular in psychology and computer science. However, the potenti ...
SPRINGER2022An Inverse-Filter-Based Method to Locate Partial Discharge Sources in Power Transformers
Marcos Rubinstein, Hamidreza Karami
Partial discharge (PD) occurrence in power transformers can lead to irreparable damage to the power network. In this paper, the inverse filter (IF) method to localize PDs in power transformers is proposed. To the best of the authors’ knowledge, this is the ...
2022Drift Estimation of Multiscale Diffusions Based on Filtered Data
Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni, Grigorios A. Pavliotis
We study the problem of drift estimation for two-scale continuous time series. We set ourselves in the framework of overdamped Langevin equations, for which a single-scale surrogate homogenized equation exists. In this setting, estimating the drift coeffic ...
2021Modified full-face snorkel masks as reusable personal protective equipment for hospital personnel
Patrick Gerber, Mélanie Thérèse Marie Hannebelle, Nitin Arora
Here we adapt and evaluate a full-face snorkel mask for use as personal protective equipment (PPE) for health care workers, who lack appropriate alternatives during the COVID-19 crisis in the spring of 2020. The design (referred to as Pneumask) consists of ...
PUBLIC LIBRARY SCIENCE2021MATHICSE Technical Report : Drift Estimation of Multiscale Diffusions Based on Filtered Data
Assyr Abdulle, Giacomo Garegnani, Andrea Zanoni, Grigorios A. Pavliotis
We study the problem of drift estimation for two-scale continuous time series. We set ourselves in the framework of overdamped Langevin equations, for which a single-scale surrogate homogenized equation exists. In this setting, estimating the drift coeffic ...
EPFL2020The Unscented Kalman Filter: Introduction and Application to Point Reactor Kinetics
This report serves two purposes. The first is to introduce the linear Kalman filter and the unscented Kalman filter to readers who are unfamiliar with either or both. To this end, it contains an extensive explanation of these methods, including all equatio ...
2020Free standing and solidly mounted Lamb wave resonators based on Al0.85Sc0.15N thin film
Paul Muralt, Mohammad Fazel Parsapour Kolour, Vladimir Pashchenko
Lamb wave microresonators with wavelengths of 5-8m, vibrating in the S0 mode, and having 75 electrode pairs were fabricated and characterized. The results were compared to theoretical predictions obtained by finite element simulation. The active material w ...
AMER INST PHYSICS2019MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter
Alfio Quarteroni, Andrea Manzoni, Stefano Pagani
The ensemble Kalman filter is a computationally efficient technique to solve state and/or parameter estimation problems in the framework of statistical inversion when relying on a Bayesian paradigm. Unfortunately its cost may become moderately large for sy ...
MATHICSE2019A Time-Vertex Signal Processing Framework
Nathanaël Perraudin, Benjamin Ricaud, Andreas Loukas, Francesco Grassi
An emerging way to deal with high-dimensional non-euclidean data is to assume that the underlying structure can be captured by a graph. Recently, ideas have begun to emerge related to the analysis of time-varying graph signals. This work aims to elevate th ...
Institute of Electrical and Electronics Engineers2018