NARX Model Identification Using Correntropy Criterion in the Presence of Non-Gaussian Noise
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Control, Automation and Electrical Systems"
DOI: 10.1007/s40313-019-00476-9
Abstract: In past years, the system identification area has emphasized the identification of nonlinear dynamic systems. In this field, polynomial nonlinear autoregressive with exogenous (NARX) models are widely used due to flexibility and prominent representation capabilities.… read more here.
Keywords: narx; presence non; gaussian noise; identification ... See more keywords
Multiplicative non-Gaussian noise and additive Gaussian white noise induced transition in a piecewise nonlinear model
Sign Up to like & getrecommendations! Published in 2017 at "Chinese Journal of Physics"
DOI: 10.1016/j.cjph.2016.11.004
Abstract: Abstract We study the transition problems in a piecewise nonlinear model induced by correlated multiplicative non-Gaussian noise and additive Gaussian white noise. Firstly, applying the path integral approach, the unified colored noise approximation, the analytical… read more here.
Keywords: transition; non gaussian; piecewise nonlinear; gaussian noise ... See more keywords
Kalman-like filtering with intermittent observations and non-Gaussian noise
Sign Up to like & getrecommendations! Published in 2019 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2019.12.127
Abstract: Abstract The paper concerns the sub-optimal filtering problem when the measurement signal is sent through an unreliable channel and the noise signals are not necessarily Gaussian. In particular, we assume that the measurement packet losses… read more here.
Keywords: like filtering; non gaussian; gaussian noise; filtering intermittent ... See more keywords
Denoising images corrupted with impulse, Gaussian, or a mixture of impulse and Gaussian noise
Sign Up to like & getrecommendations! Published in 2019 at "Engineering Science and Technology, an International Journal"
DOI: 10.1016/j.jestch.2019.01.012
Abstract: Abstract In this paper, a cascade of stages is used to denoise images corrupted with Gaussian noise, impulse noise or a mixture of the two. The proposed method is based on removing the abnormal values… read more here.
Keywords: mixture; images corrupted; gaussian noise; impulse gaussian ... See more keywords
An iterative posterior NMF method for speech enhancement in the presence of additive Gaussian noise
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.012
Abstract: In this paper, a speech enhancement method based on regularized non-negative matrix factorization (NMF) for non-stationary Gaussian noise is proposed. An iterative posterior NMF-based model of the magnitudes of the spectral components of speech and… read more here.
Keywords: posterior nmf; speech; speech enhancement; gaussian noise ... See more keywords
A study of non-linear Langevin dynamics under non-Gaussian noise with quartic cumulant
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Statistical Mechanics: Theory and Experiment"
DOI: 10.1088/1742-5468/ac4aef
Abstract: We consider a non-linear Langevin equation in presence of non-Gaussian noise originating from non-linear bath. We claim, the parameters in the Langevin equation are not physical. The physical parameters are obtained from a path-integral description… read more here.
Keywords: point function; non linear; gaussian noise; linear langevin ... See more keywords
Robust Derivative Unscented Kalman Filter Under Non-Gaussian Noise
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2846752
Abstract: A robust derivative unscented Kalman filter is proposed for a nonlinear system with non-Gaussian noise and outliers based on Huber function. In this paper, the time update process can be performed using a Kalman filter… read more here.
Keywords: unscented kalman; non gaussian; gaussian noise; kalman filter ... See more keywords
Poisson-Gaussian Noise Reduction for X-Ray Images Based on Local Linear Minimum Mean Square Error Shrinkage in Nonsubsampled Contourlet Transform Domain
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3097078
Abstract: Noise reduction is important for X-ray images because it can reduce radiation exposure to patients. X-ray image noise has a Poisson-Gaussian distribution, and recently, noise analysis and removal in multiscale transformations have been widely implemented.… read more here.
Keywords: shrinkage; gaussian noise; poisson gaussian; noise ... See more keywords
Enhanced Channel Attention Network With Cross-Layer Feature Fusion for Spectral Reconstruction in the Presence of Gaussian Noise
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3218820
Abstract: Spectral reconstruction from RGB images has made significant progress. Previous works usually utilized the noise-free RGB images as input to reconstruct the corresponding hyperspectral images (HSIs). However, due to instrumental limitation or atmospheric interference, it… read more here.
Keywords: gaussian noise; reconstruction; channel attention; spectral reconstruction ... See more keywords
Non-Orthogonal Multiple Access in the Presence of Additive Generalized Gaussian Noise
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.2995883
Abstract: In this letter, we investigate the performance of non-orthogonal multiple access (NOMA), under the assumption of generalized Gaussian noise (GGN), over Rayleigh fading channels. Specifically, we consider a NOMA system with $L$ users, each of… read more here.
Keywords: tex math; inline formula; gaussian noise;
Robust DRSS Based Localization in Sensor Networks With Generalized Gaussian Noise
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3205740
Abstract: This letter addresses the problem of robust differential received signal strength (DRSS) based localization in the presence of generalized Gaussian noise. Instead of transforming the nonlinear equation into a pseudo-linear equation, we develop a maximum… read more here.
Keywords: localization; gaussian noise; tex math; inline formula ... See more keywords