Publication
Signal Processing in Space and Time
Publications associées (315)
The additive hazard estimator is consistent for continuous-time marginal structural models
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Marginal structural models (MSMs) allow for causal analysis of longitudinal data. The standard MSM is based on discrete time models, but the continuous-time MSM is a conceptually appealing alternative for survival analysis. In applied analyses, it is often ...
2019A Physical Model of Nonstationary Blur in Ultrasound Imaging
Jean-Philippe Thiran, Yves Wiaux, Paul Hurley, Dimitris Perdios, Matthieu Martin Jean-André Simeoni, Marcel Arditi, Adrien Besson
While restoration methods have been extensively studied in ultrasound (US) imaging, only few recent works have focused on modeling and understanding the blur from a physical point of view even in simple configurations, such as lossless homogeneous media. D ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019Analysis and Reduction of Large Errors in Rayleigh-based Distributed Sensor
Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Li Zhang, Luis Costa
Commonly, the frequency shift of back-reflection spectra is the key parameter to measure quantitatively local temperature or strain changes in frequency-scanned Rayleigh-based distributed fiber sensors. Cross-correlation is the most common method to estima ...
2019Sampling the Multiple Facets of Light
The theme of this thesis revolves around three important manifestations of light, namely its corpuscular, wave and electromagnetic nature. Our goal is to exploit these principles to analyze, design and build imaging modalities by developing new signal proc ...
EPFL2018MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Rémi Gribonval, Helena Peic Tukuljac
This paper addresses the general problem of blind echo retrieval, i.e., given M sensors measuring in the discrete-time domain M mixtures of K delayed and attenuated copies of an unknown source signal, can the echo locations and weights be recovered? This p ...
2018MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Rémi Gribonval, Helena Peic Tukuljac
This paper addresses the general problem of blind echo retrieval, i.e., given M sensors measuring in the discrete-time domain M mixtures of K delayed and attenuated copies of an unknown source signal, can the echo locations and weights be recovered? This p ...
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018Super Resolution Phase Retrieval for Sparse Signals
Martin Vetterli, Juri Ranieri, Gilles Baechler, Amina Chebira, Miranda Krekovic
In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts to recover the phase information of a signal from the magnitude of its Fo ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018Method for estimating synchrophasors during static and dynamic conditions
Mario Paolone, Asja Derviskadic, Paolo Romano
A method for performing synchrophasor estimation of an input signal, whereby the input signal is a sinusoidal power system voltage or current signal, comprising: a. Periodic sampling of a continuous time-domain waveform, consisting of a power system voltag ...
2018Parallel Implementation Technique of Digital Equalizer for Ultra-High-Speed Wireline Receiver
Cosimo Aprile, Yusuf Leblebici, Alessandro Cevrero, Lukas Kull, Gain Kim, Ilter Ozkaya, Thomas Toifl
This paper presents a parallel implementation technique of digital equalizer for high-speed wireline serial link receiver (RX). In wireline RX, inter-symbol interference (ISI) is mitigated by continuous-time linear equalizer, and the remaining ISI is cance ...
2018Combining Fourier Analysis And Machine Learning To Estimate The Shallow-Ground Thermal Diffusivity In Switzerland
Jean-Louis Scartezzini, Dan Assouline, Nahid Mohajeri Pour Rayeni
We propose a methodology combining physical modelling and machine learning (ML) to estimate the apparent ground thermal diffusivity at the scale of a country. Based on ground temperature time series at different depths, we estimate the diffusivity at 49 Sw ...
IEEE2018