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DOA Estimation in Impulsive Noise via Low-Rank Matrix Approximation and Weakly Convex Optimization

IEEE Transactions on Aerospace and Electronic Systems, 2019
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 robust DOA estimation via low-rank matrix approximation, where $\ell ...
Qi Liu, Yuantao Gu, H. So
semanticscholar   +1 more source

A Robust Affine Projection Algorithm Against Impulsive Noise

IEEE Signal Processing Letters, 2020
This letter proposes a prefiltered observation-based affine projection algorithm (APA) to achieve robustness against outliers. The conventional robust algorithm for correlated input signal, which is called the affine projection sign algorithm (APSA), was
J. Jeong
semanticscholar   +1 more source

Active Impulsive Noise Control Algorithm Based on Adjustable Hyperbolic Tangent Function

Circuits, systems, and signal processing, 2023
Chunyang Li, Guang Jin, Hao Liu, Jin Li
semanticscholar   +1 more source

Automatic Modulation Classification Using Cyclic Correntropy Spectrum in Impulsive Noise

IEEE Wireless Communications Letters, 2019
Automatic modulation classification (AMC) plays an important role in many military and civilian communication applications. However, it remains a challenging task to support such AMC mechanisms under impulsive noise environments.
Jitong Ma, T. Qiu
semanticscholar   +1 more source

Cognition and Removal of Impulse Noise With Uncertainty

IEEE Transactions on Image Processing, 2012
Uncertainties are the major inherent feature of impulse noise. This fact makes image denoising a difficult task. Understanding the uncertainties can improve the performance of image denoising. This paper presents a novel adaptive detail-preserving filter based on the cloud model (CM) to remove impulse noise. It is called the CM filter.
openaire   +2 more sources

A non-divergence diffusion equation for removing impulse noise and mixed Gaussian impulse noise

Neurocomputing, 2016
In this paper, a non-divergence diffusion equation consisting of an impulse noise indicator λ and a regularized Perona-Malik (RPM) diffusion operator is proposed for the removal of impulse noise. The impulse noise indicator λ is designed to keep values of noise-free pixels unaltered while the Gaussian kernel in the RPM operator makes the proposed ...
Kehan Shi   +4 more
openaire   +1 more source

Impulsive Noises in Restaurants

The Journal of the Acoustical Society of America, 1967
In work reported earlier, the authors examined the speech component of the restaurant-noise environment and developed a design method for achieving the required acoustic criteria. In the recent work presented here, they have expanded their analysis of the noise environment to include sounds such as dish and silverware clatter and other impact sounds.
A. S. Harris, B. G. Watters
openaire   +1 more source

A study on impulse noise removal for varied noise densities

Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India, 2010
Digital images are generally affected by noise due to acquisition process or by transmission process. Most of the images are assumed to have variety of noise. Different algorithms are used depending on the noise model. Number of algorithms have been developed in the past years to denoise the images. In this paper different existing denoising algorithms
V. Radhika, G. Padmavathi
openaire   +1 more source

Propagation of impulse noise

2022
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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