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Adaptive Gaussian Filter Based on ICEEMDAN Applying in Non-Gaussian Non-stationary Noise
Gaussian filter (GF) is a commonly used linear filter in signal and image noise reduction. However, its limitation is that it cannot adapt parameters...
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Data-driven approach for extracting the most probable exit trajectory of stochastic dynamical systems with non-Gaussian Lévy noise
The burgeoning data-driven techniques endow large potential to predict fairly practical or complex dynamical systems in various fields through...
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Robust coherent and incoherent statistics for detection of hidden periodicity in models with non-Gaussian additive noise
We address the issue of detecting hidden periodicity when the signal exhibits periodic correlation, but is additionally affected by non-Gaussian...
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Transition in a delayed tumor growth model with non-Gaussian colored noise
Transition in a delayed tumor growth model subjected to non-Gaussian colored noise is investigated. The lifetime of residing in the excited region,...
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Mathematical Modeling of Signal Detection in Non-gaussian Correlated Noise
The development of signal detection systems requires complete information about the type of random processes distributions in communication channels...
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Discrete Filter and Non-Gaussian Noise for Fast Roughness Simulations with Gaussian Processes
Rough surface simulations result in tight feedback loops in research procedures, such that they speed up studies for example about roughness’ impact...
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The Maximum Correntropy Criterion-Based Robust Hierarchical Estimation Algorithm for Linear Parameter-Varying Systems with Non-Gaussian Noise
The traditional identification algorithms are generally based on the quadratic criterion functions and perform well under the interference of...
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Investigation of NOMA 5G Systems Under Non-Gaussian Channels
This research investigation centers around the comprehensive analysis of the operational efficiency of nonorthogonal multiple-access (NOMA)...
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Identification of hybrid energy harvesting systems with non-Gaussian process
Hybrid energy harvesting systems are broadly applied in various fields due to the advantage of improving energy harvesting efficiency. In actual...
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Intersurvey Accumulation of Reflected Radar Signals in the Presence of Non-Gaussian Correlated Noise
AbstractAn algorithm for the intersurvey accumulation of reflected radar signals in the presence of non-Gaussian correlated noise that is invariant...
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Nonlinear Systems Under Non-White, Non-Gaussian, and Nonstationary Excitation
In Chap. 5, the Wiener path integral formulation of Chap. 4, valid for Gaussian white noise excitation, is generalized to be applicable for more...
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Stochastic Stability of the Improved Maximum Correntropy Kalman Filter Against Non-Gaussian Noises
In this paper, an improved maximum correntropy Kalman filter (IMCKF) algorithm is proposed to enhance the estimation accuracy of conventional...
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Quantum Illumination with Symmetric Non-Gaussian States
Quantum illumination (QI) is a technique that uses entangled states to illuminate a target region surrounded by a bright thermal bath to detect...
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Stochastic stability of a fractional viscoelastic plate driven by non-Gaussian colored noise
In this paper, the moment Lyapunov exponent and stochastic stability of a fractional viscoelastic plate driven by non-Gaussian colored noise is...
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Nonlinear Spline Adaptive Filtering Against Non-Gaussian Noise
In this paper, a generalized maximum Versoria criterion algorithm (GMVC) based on wiener spline adaptive filter, called SAF–GMVC, is proposed. The...
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Algorithm of Gaussian Sum Based Cubature Kalman Filter for Non-Gaussian Systems
To improve the performance of the cubature kalman filter (CKF) in nonlinear non-Gaussian filtering system, the Gaussian sum cubature kalman filter...
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Iterative Massive MIMO Demodulation Method with Non-Gaussian Approximation
Nowadays, the problem of synthesizing demodulation algorithms with good noise immunity and acceptable computational complexity is a particularly...
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Nonlinear noise spectrum measurement using a probability-maintained noise power ratio method
Nonlinear distortion (noise) limits many communication systems, demanding a means of estimating system performance via device nonlinear...
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Non-iterative Cauchy kernel-based maximum correntropy cubature Kalman filter for non-Gaussian systems
This article addresses the nonlinear state estimation problem where the conventional Gaussian assumption is completely relaxed. Here, the...
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A New Variational Bayesian-based Kalman Filter with Random Measurement Delay and Non-Gaussian Noises
To improve the estimation accuracy of the Kalman filter in the scenario of random measurement delay and non-Gaussian process and measurement noises,...