In this paper, a new methodology is proposed for the analysis of forested areas basing on
multipolarimetric multibaseline synthetic aperture radar (SAR) surveys. Such a methodology …

Matrix decompositions such as the eigenvalue decomposition (EVD) or the singular value
decomposition (SVD) have a long history in signal processing. They have been used in …

In this paper, a technique is described for the tomographic characterization of forested areas
through multiple synthetic aperture radar (SAR) observations, based on either single or …

Elliptic localization is a range-based positioning technique exploiting multiple transmitter-
receiver pairs, each of which provides separate bistatic range (BR) measurements. In this …

The problem of approximate joint diagonalization of a set of matrices is instrumental in
numerous statistical signal processing applications. For nonorthogonal joint diagonalization …

A blind Direction-of-Arrivals (DOAs) estimate of narrowband signals for Acoustic Vector-
Sensor (AVS) arrays is proposed. Building upon the special structure of the signal measured …

A comparative study of approximate joint diagonalization algorithms of a set of matrices is
presented. Using a weighted least-squares criterion, without the orthogonality constraint, an …

While a pair of N× N matrices can almost always be exactly and simultaneously
diagonalized by a generalized eigendecomposition, no exact solution exists in the case of a …

In this paper, we present an approach of recovering signal waveforms of speech sources
from observed signals in noisy and reverberant environments. The approach is based on …

This article presents an efficient solution for the problem of elliptic object localization under
asynchronous transmissions such that each measurement is subject to an unknown clock …