The ℓ 1/ℓ 2 ratio regularization function has shown good performance for retrieving sparse
signals in a number of recent works, in the context of blind deconvolution. Indeed, it benefits …

Due to the minimum antenna area constraints of synthetic aperture radar (SAR), high-
resolution and wide-swath (HRWS) imaging is difficult to be achieved using classical modes …

In the field of ultrasound imaging, resolution enhancement is an up-to-date challenging task.
Many device-based approaches have been proposed to overcome the low resolution nature …

We have addressed blind deconvolution in a multichannel framework. Recently, a robust
solution to this problem based on a Bayesian approach called sparse multichannel blind …

Unveiling meaningful geophysical information from seismic data requires to deal with both
random and structured “noises”. As their amplitude may be greater than signals of interest …

Three-dimensional (3D) characterization of nanomaterials is traditionally performed by
either cross-sectional milling with a focused ion beam (FIB), or transmission electron …

The paper a cubic spline built through a local base spline and the local interpolation bicubic
spline models we offer have been selected. The construction details of the models are given …

We introduce a new penalty function that promotes signals composed of a small number of
active groups, where within each group, only a few high magnitude coefficients are nonzero …

In this paper, the problem of single-channel blind source separation (SCBSS) is addressed
using a novel approach that combines the adaptive mode separation-based wavelet …

High-resolution seismic data allows us to better characterize the reservoir and detect the
hydrocarbon. To improve the resolution of seismic data, in this article, we extend the …