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Simulation of 1D ARPES Data and Measures to recover the underlying Signal

Related publications (43)

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Multiscale Active Contours

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson

In this paper, we propose two approaches to define an evolution equation for the active contours in scale spaces. The evolution equation is based on the Polyakov functional that has been first introduced in physics and has been then used in image processin ...

2004

Second-order linear hyperbolic SPDEs driven by isotropic Gaussian noise on a sphere

Robert Dalang, Olivier Lévêque

We study a class of linear hyperbolic stochastic partial differential equations in bounded domains, that includes the wave equation and the telegraph equation, driven by Gaussian noise that is white in time but not in space. We give necessary and sufficien ...

2004

Microphone Array Post-filter based on Noise Field Coherence

Hervé Bourlard

This article introduces a novel technique for estimating the signal power spectral density to be used in the transfer function of a microphone array post-filter. The technique is a generalisation of the existing Zelinski post-filter, which uses the auto- a ...

2003

Noise Robust Discriminative Models

Samy Bengio, Quan Le

For classification problems, it is important that the classifier is trained with data which is likely to appear in the future. Discriminative models, because of their nature to focus on the boundary between classes rather than data itself, usually do not h ...

IDIAP2003

Wavelet de-noising for highly noisy source separation

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

The aim of this paper is to demonstrate that wavelet denoising processing is extremely attractive for efficient source separation of strong noisy mixtures. Systematic numerical simulations using source separation algorithms after wavelet de-noising are use ...

2002

Data utility modelling for mismatch reduction

In the "missing data" (MD) approach to noise robust automatic speech recognition (ASR), speech models are trained on clean data, and during recognition sections of spectral data dominated by noise are detected and treated as "missing". However, this all-or ...

2001

Data utility modelling for mismatch reduction

IDIAP2001

Microphone Array Post-filter based on Noise Field Coherence

Hervé Bourlard

IDIAP2001

Wavelet thresholding for multiple noisy images

Martin Vetterli

This correspondence addresses the recovery of an image from its multiple noisy copies. The standard method is to compute the weighted average of these copies. Since the wavelet thresholding technique has been shown to effectively denoise a single noisy cop ...

2000

Calcul stochastique appliqué aux problèmes de détection des signaux aléatoires

Signal detection is one of the basic problems in statistical communication theory, and has many applications to contemporary technology, whether in engineering, medical science, or the environment. The most difficult problems are those involving random sig ...

EPFL1999