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A comprehensive review of direction-of-arrival estimation and localization approaches in mixed-field sources scenario
Direction-of-arrival (DOA) estimation plays a crucial role in array signal processing across
various domains, including radar, sonar, wireless communications, and seismic exploration …
various domains, including radar, sonar, wireless communications, and seismic exploration …
Hierarchical segmentation of polarimetric SAR images using heterogeneous clutter models
In this paper, heterogeneous clutter models are used to describe polarimetric synthetic
aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR …
aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR …
Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions
Scatter matrix and its normalized counterpart, referred to as shape matrix, are key
parameters in multivariate statistical signal processing, as they generalize the concept of …
parameters in multivariate statistical signal processing, as they generalize the concept of …
Semiparametric CRB and Slepian-Bangs formulas for complex elliptically symmetric distributions
The main aim of this paper is to extend the semiparametric inference methodology, recently
investigated for Real Elliptically Symmetric (RES) distributions, to Complex Elliptically …
investigated for Real Elliptically Symmetric (RES) distributions, to Complex Elliptically …
Semiparametric inference and lower bounds for real elliptically symmetric distributions
This paper has a twofold goal. The first aim is to provide a deeper understanding of the
family of the real elliptically symmetric (RES) distributions by investigating their intrinsic …
family of the real elliptically symmetric (RES) distributions by investigating their intrinsic …
Position-momentum uncertainty relations based on moments of arbitrary order
The position-momentum uncertainty-like inequality based on moments of arbitrary order for
d-dimensional quantum systems, which is a generalization of the celebrated Heisenberg …
d-dimensional quantum systems, which is a generalization of the celebrated Heisenberg …
NLOS mitigation in indoor localization by marginalized Monte Carlo Gaussian smoothing
One of the main challenges in indoor time-of-arrival (TOA)-based wireless localization
systems is to mitigate non-line-of-sight (NLOS) propagation conditions, which degrade the …
systems is to mitigate non-line-of-sight (NLOS) propagation conditions, which degrade the …
A Riemannian framework for low-rank structured elliptical models
This paper proposes an original Riemmanian geometry for low-rank structured elliptical
models, ie, when samples are elliptically distributed with a covariance matrix that has a low …
models, ie, when samples are elliptically distributed with a covariance matrix that has a low …
[HTML][HTML] Microsaccades are modulated by both attentional demands of a visual discrimination task and background noise
Microsaccades are miniature saccades occurring once or twice per second during visual
fixation. While microsaccades and saccades share similarities at the oculomotor level, the …
fixation. While microsaccades and saccades share similarities at the oculomotor level, the …
Displacement estimation by maximum-likelihood texture tracking
This paper presents a novel method to estimate displacement by maximum-likelihood (ML)
texture tracking. The observed polarimetric synthetic aperture radar (PolSAR) data-set is …
texture tracking. The observed polarimetric synthetic aperture radar (PolSAR) data-set is …