Sparse Bayesian learning approach for outlier-resistant direction-of-arrival estimation
Conventional direction-of-arrival (DOA) estimation methods are sensitive to outlier
measurements. Therefore, their performance may degrade substantially in the presence of …
measurements. Therefore, their performance may degrade substantially in the presence of …
Robust low-rank tensor recovery via nonconvex singular value minimization
L Chen, X Jiang, X Liu, Z Zhou - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Tensor robust principal component analysis via tensor nuclear norm (TNN) minimization has
been recently proposed to recover the low-rank tensor corrupted with sparse noise/outliers …
been recently proposed to recover the low-rank tensor corrupted with sparse noise/outliers …
Robust adaptive beamforming with precise main beam control
Many efforts have been recently devoted to robust adaptive beamforming with main beam
control such that sufficient robustness against large look direction mismatches can be …
control such that sufficient robustness against large look direction mismatches can be …
Robust sparse recovery in impulsive noise via continuous mixed norm
This letter investigates the problem of sparse signal recovery in the presence of additive
impulsive noise. The heavytailed impulsive noise is well modeled with stable distributions …
impulsive noise. The heavytailed impulsive noise is well modeled with stable distributions …
A survey on automatic image annotation
Y Chen, X Zeng, X Chen, W Guo - Applied Intelligence, 2020 - Springer
Automatic image annotation is a crucial area in computer vision, which plays a significant
role in image retrieval, image description, and so on. Along with the internet technique …
role in image retrieval, image description, and so on. Along with the internet technique …
Speech enhancement with robust beamforming for spatially overlapped and distributed sources
X Wenmeng, B Changchun, J Maoshen… - … /ACM Transactions on …, 2022 - ieeexplore.ieee.org
Most of the existing Beamforming methods are based on the assumptions that the sources
are all point sources and the angular separation between the direction of arrival (DOA) of the …
are all point sources and the angular separation between the direction of arrival (DOA) of the …
Robust adaptive DOA estimation method in an impulsive noise environment considering coherently distributed sources
Q Tian, T Qiu, J Li, R Li - Signal Processing, 2019 - Elsevier
Many approaches have been studied for the direction of arrival (DOA) estimation of
distributed sources under additive Gaussian noise environments, but these schemes …
distributed sources under additive Gaussian noise environments, but these schemes …
Online change-point detection of linear regression models
In this paper, we consider the problem of quickly detecting an abrupt change in linear
regression models. Specifically, an observer sequentially obtains a sequence of …
regression models. Specifically, an observer sequentially obtains a sequence of …
Robust minimum dispersion distortionless response beamforming against fast-moving interferences
The recently proposed minimum dispersion distortionless response (MDDR) beamformer is
able to improve the reception of non-Gaussian signals over the minimum variance …
able to improve the reception of non-Gaussian signals over the minimum variance …
A simplified DOA estimation method based on correntropy in the presence of impulsive noise
Q Tian, T Qiu, J Ma, J Li, R Li - IEEE Access, 2018 - ieeexplore.ieee.org
Many approaches have been studied in the field of array signal processing when impulsive
noise is modeled with an alpha-stable distribution. By introducing the correntropy, which …
noise is modeled with an alpha-stable distribution. By introducing the correntropy, which …