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Can Rock-Eval pyrolysis assess the biogeochemical composition of organic matt...
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Noisy classification with boundary assumptions
We address the problem of classification when data are collected from two samples with measurement errors. This problem turns to be an inverse problem and requires a... -
Algebraic and determinist identification of continuous-time signals and syste...
This thesis is concerned with the problem of signals and systems identification applied to digital communication. While<br />the majority of the existing methods... -
The algorithm of noisy k-means
In this note, we introduce a new algorithm to deal with finite dimensional clustering with errors in variables. The design of this algorithm is based on recent... -
Generalized mutual information approach to multichannel blind deconvolution
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Robust wavelet estimation and blind deconvolution of noisy surface seismics
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Robust wavelet estimation and blind deconvolution of noisy surface seismics
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Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI ...
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Towards interval-based non-additive deconvolution in signal processing
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Towards a Robust Imprecise Linear Deconvolution
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Improvement of the LLS and MAP deconvolution algorithms by automatic determin...
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Adaptive parameter selection for block wavelet-thresholding deconvolution
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Deconvolution and separation of hyperspectral images. Applications to microscopy
Hyperspectral imaging refers to the acquisition of spatial images at enough spectral bands to produce highly resolved pixel spectra. When applied to microscopy, this... -
Does deblurring improve geometrical hyperspectral unmixing?
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New adaptive strategies for nonparametric estimation in linear mixed models
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Whiteness and non-gaussianity to blind déconvolution of noisy data : applicat...
This thesis deals with the blind deconvolution of noisy data. We consider the case of seismic data. The inversion of the model need to select higher order statistics... -
On deconvolution of distribution functions
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Cost functions for the estimation of acoustic filters in reverberant mixtures
This work is focused on the processing of multichannel and multisource audio signals. From an audio mixture of several audio sources recorded in a reverberant room, we...
