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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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A Blind Poisson–Gaussian Noise Separation Using Learning Copula Densities
This paper develops a novel copula denoising optimization solution for separating Poisson noise from images, or removing mixtures of Poisson and...
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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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Gaussian and Impulse Noise Identification from Image Using Frequency Domain Analysis
Classifying the various types of noise and reconstructing de-noisy images is one of the challenging issues in the field of image processing. Noise,...
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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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Probabilistic Response Analysis of Nonlinear Tristable Energy Harvester Under Gaussian Colored Noise
PurposeIn this paper, probabilistic response and performance analysis of a nonlinear tri-stable energy harvesting with piezoelectric coupling driven...
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A deep learning method for computing mean exit time excited by weak Gaussian noise
Exit events induced by noise from the attracting domain containing a stable fixed point are ubiquitous phenomena in physical systems, wherein mean...
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Efficient path integral approach via analytical asymptotic expansion for nonlinear systems under Gaussian white noise
In this paper an efficient formulation of the Path integral (PI) approach is developed for determining the response probability density functions...
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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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A Deep Learning Approach for Gaussian Noise-Level Quantification
Image noise and its reduction have been of active interest over the last few years due to the increasing application of Image processing in various...
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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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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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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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Linear Systems Under Gaussian White Noise Excitation: Exact Closed-Form Solutions
In Chap. 3 , the Wiener path integral formulation developed in Chap. 2 for...
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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 Gaussian White Noise Excitation
In Chap. 4, the Wiener path integral technique developed in Chap. 3 is generalized to account for multi-degree-of-freedom systems exhibiting various...
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Stochastic Dynamics of a Unilateral Vibro-impact System Driven by Gaussian White Noise
Vibro-impact has the vital influence on the dynamic properties, reliability and service life of the system, which exists widely in mechanical...
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A Wavelet Thresholding-Based Approach for Denoising the Color Image Affected by Gaussian Noise
Image denoising is most significant in image processing, which removes noise from noisy images and restores the original image. Images can get...
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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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Abundant analytic solutions of the stochastic KdV equation with time-dependent additive white Gaussian noise via Darboux transformation method
In this paper, the stochastic KdV equation is studied. The purpose is to extend the method of the deterministic integrable systems to construct and...
