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A discretization-free sparse and parametric approach for linear array signal processing
Direction of arrival (DOA) estimation in array processing using uniform/sparse linear arrays
is concerned in this paper. While sparse methods via approximate parameter discretization …
is concerned in this paper. While sparse methods via approximate parameter discretization …
Single-snapshot DOA estimation by using compressed sensing
This paper deals with the problem of estimating the directions of arrival (DOA) of multiple
source signals from a single observation vector of an array data. In particular, four estimation …
source signals from a single observation vector of an array data. In particular, four estimation …
Variational Bayesian inference of line spectra
MA Badiu, TL Hansen, BH Fleury - IEEE Transactions on Signal …, 2017 - ieeexplore.ieee.org
We address the fundamental problem of line spectral estimation in a Bayesian framework.
We target model order and parameter estimation via variational inference in a probabilistic …
We target model order and parameter estimation via variational inference in a probabilistic …
Weighted SPICE: A unifying approach for hyperparameter-free sparse estimation
In this paper we present the SPICE approach for sparse parameter estimation in a
framework that unifies it with other hyperparameter-free methods, namely LIKES, SLIM and …
framework that unifies it with other hyperparameter-free methods, namely LIKES, SLIM and …
A Compact Formulation for the Mixed-Norm Minimization Problem
Parameter estimation from multiple measurement vectors (MMVs) is a fundamental problem
in many signal processing applications, eg, spectral analysis and direction-of-arrival …
in many signal processing applications, eg, spectral analysis and direction-of-arrival …
Statistical regularization for enhanced TomoSAR imaging
GM del Campo, M Nannini… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
One of the main topics in synthetic aperture radar (SAR) tomography (TomoSAR) is the
estimation of the vertical structures' location, which scatter the field back toward the sensor …
estimation of the vertical structures' location, which scatter the field back toward the sensor …
Generalized sparse covariance-based estimation
In this work, we generalize the recent sparse iterative covariance-based estimator (SPICE)
by extending the problem formulation to allow for different norm constraints on the signal …
by extending the problem formulation to allow for different norm constraints on the signal …
Multi-pitch estimation exploiting block sparsity
We study the problem of estimating the fundamental frequencies of a signal containing
multiple harmonically related sinusoidal components using a novel block sparse signal …
multiple harmonically related sinusoidal components using a novel block sparse signal …