Sign Up to like & get
recommendations!
1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950016
Abstract: Signal processing in the spherical harmonic (SH) domain has the advantages of analyzing a signal on the sphere with equal resolution in the whole space and of decomposite the frequency- and location-dependent components of the…
read more here.
Keywords:
application;
harmonic atomic;
atomic norm;
domain ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3143662
Abstract: Recently, we have proposed the coprime tomographic synthetic aperture radar (TomoSAR) technique, whose baseline configuration conforms to the coprime array geometry. This technique is devoted to reducing the required number of acquisitions in the practical…
read more here.
Keywords:
coprime tomographic;
coprime;
atomic norm;
reconstruction ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3191394
Abstract: Aiming at acquiring high-resolution ISAR image effectively and quickly, a new fast gridless imaging method with a sound two-dimensional (2-D) reweighting strategy is proposed in this letter. First, the received echo is characterized as a…
read more here.
Keywords:
isar;
isar imaging;
atomic norm;
gridless ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2700442
Abstract: In problems involving the optimization of atomic norms, an upper bound on the dual atomic norm often arises as a constraint. For the special case of line spectral estimation, this upper bound on the dual…
read more here.
Keywords:
formulation atomic;
role bounded;
norm;
atomic norm ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3045343
Abstract: Atomic norm minimization is a convex optimization framework to recover point sources from a subset of their low-pass observations, or equivalently the underlying frequencies of a spectrally-sparse signal. When the amplitudes of the sources are…
read more here.
Keywords:
compressed super;
super resolution;
positive sources;
resolution positive ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3279777
Abstract: Finite rate of innovation (FRI) sampling is widely used in modern high-resolution range-Doppler (RD) detection systems to reduce the sampling rate. However, as the sampling rate decreases, the method becomes more noise-sensitive. This study proposes…
read more here.
Keywords:
network;
fri;
atomic norm;
denoising network ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3223524
Abstract: Synthetic aperture radar (SAR) tomography (TomoSAR) extends the synthetic aperture principle into the elevation direction for 3-D imaging. Due to the sparsity of the elevation signal, compressive sensing (CS) methods have been introduced for tomographic…
read more here.
Keywords:
minimization gridless;
atomic norm;
gridless;
norm minimization ... See more keywords
Sign Up to like & get
recommendations!
3
Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3234576
Abstract: In this article, we propose an efficient direction of departure (DOD) and direction of arrival (DOA) estimation method for bistatic multiple-input multiple-output (MIMO) radar with faulty arrays. A third-order tensor model is built, and the…
read more here.
Keywords:
doa estimation;
norm minimization;
atomic norm;
method ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2019.2954452
Abstract: Non-stationary blind super-resolution is an extension of the traditional super-resolution problem, which deals with the problem of recovering fine details from coarse measurements. The non-stationary blind super-resolution problem appears in many applications including radar imaging,…
read more here.
Keywords:
non stationary;
super resolution;
problem;
atomic norm ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2018.2793907
Abstract: Modal analysis is the process of estimating a system's modal parameters, such as its natural frequencies and mode shapes. One application of modal analysis is in structural health monitoring (SHM), where a network of sensors…
read more here.
Keywords:
analysis;
analysis random;
norm minimization;
modal analysis ... See more keywords
Photo from wikipedia
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3198188
Abstract: Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) signals is presented for a two-dimensional space. A novel virtual channel…
read more here.
Keywords:
localization;
atomic norm;
millimeter wave;
orientation ... See more keywords