Among the many applications of mass spectrometry, biomarker pattern discovery from
protein mass spectra has aroused considerable interest in the past few years. While …

In this review article, we propose to use the Bayesian inference approach for inverse
problems in signal and image processing, where we want to infer on sparse signals or …

Spectroscopic data often suffer from common problems of bands overlapping and random
noise. In this paper, we show that the issue of overlapping peaks can be considered as a …

Deconvolution has become one of the most used methods for improving spectral resolution.
Deconvolution is an ill-posed problem, especially when the point spread function (PSF) is …

A conceptual/computational framework for exposure reconstruction from biomarker data
combined with auxiliary exposure-related data is presented, evaluated with example …

The paper deals with the construction of images from visibilities acquired using aperture
synthesis instruments: Fourier synthesis, deconvolution, and spectral interpolation …

Absorbance and difference infrared spectra are often acquired aiming to characterize
protein structure and structural changes of proteins upon ligand binding, as well as for many …

This paper addresses the problem of sparse signal reconstruction frequently arising in
analytical chemistry. Spectroscopic restoration is an important task that was tackled using …

Since their origins in academic endeavours in the 1970s, computational analysis tools have
matured into a number of established commercial packages that underpin research in …

We present a method for the analysis of time-resolved spectroscopic data following first-
order kinetics. The time traces at all the available spectroscopic channels (eg, wavelength or …