DOA estimation in impulsive noise via low-rank matrix approximation and weakly convex optimization
Conventional direction-of-arrival (DOA) estimators are vulnerable to impulsive noise. In this
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
paper, to tackle this issue, a class of weakly convex-inducing penalties is introduced for …
An ℓ0-overlapping group sparse total variation for impulse noise image restoration
Total variation (TV) based methods are effective models in image restoration. For eliminating
impulse noise, an effective way is to use the ℓ 1-norm total variation model. However, the TV …
impulse noise, an effective way is to use the ℓ 1-norm total variation model. However, the TV …
Non-circular sources DOA estimation for coprime array with impulsive noise: A novel augmented phased fractional low-order moment
The coprime array has become an essential part of array signal processing, which can
obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the …
obtain a much higher degrees of freedom (DOFs) and larger aperture than that of the …
Combined higher order non-convex total variation with overlapping group sparsity for impulse noise removal
T Adam, R Paramesran, Y Mingming… - Multimedia Tools and …, 2021 - Springer
A typical approach to eliminate impulse noise is to use the ℓ 1-norm for both the data fidelity
term and the regularization terms. However, the ℓ 1-norm tends to over penalize signal …
term and the regularization terms. However, the ℓ 1-norm tends to over penalize signal …
[HTML][HTML] Off-grid doa estimation using sparse Bayesian learning for mimo radar under impulsive noise
Direction of arrival (DOA) estimation is an essential and fundamental part of array signal
processing, which has been widely used in radio monitoring, autonomous driving of …
processing, which has been widely used in radio monitoring, autonomous driving of …
Enhanced bnc approach for noncircular signals direction finding with sparse array in the scenario of impulsive noise
Sparse array is popular in the field of array signal processing. However, in the direction of
arrival (DOA) estimation, most research on sparse array assumes Gaussian noise, resulting …
arrival (DOA) estimation, most research on sparse array assumes Gaussian noise, resulting …
Optimum codesign for image denoising between type-2 fuzzy identifier and matrix completion denoiser
With the wide deployment of digital image capturing equipment, the need of denoising to
produce a crystal clear image from noisy capture environment has become indispensable. In …
produce a crystal clear image from noisy capture environment has become indispensable. In …
Distributed weakly convex optimization under random time-delay interference
In this article, a special class of distributed stochastic nonconvex optimization problem is
investigated. Each agent in the network only has access to a local stochastic weakly convex …
investigated. Each agent in the network only has access to a local stochastic weakly convex …
FDA-MIMO radar for DOD, DOA, and range estimation: SA-MCFO framework and RDMD algorithm
C Wang, X Zhang, J Li - Signal Processing, 2021 - Elsevier
The frequency diverse array-multi-input multi-output (FDA-MIMO) radar can locate target in
angle and range dimensions by transmitting little frequency offset across the transmit …
angle and range dimensions by transmitting little frequency offset across the transmit …
An efficient real-valued sparse Bayesian learning for non-circular signal's DOA estimation in the presence of impulsive noise
Currently, sparse Bayesian learning (SBL) has been introduced to solve direction of arrival
(DOA) estimation in different situations. In the line of DOA estimation under impulsive noise …
(DOA) estimation in different situations. In the line of DOA estimation under impulsive noise …