Results 11 to 20 of about 844,799 (232)

Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise

open access: yesThe Astrophysical Journal Letters, 2023
Likelihood analysis is typically limited to normally distributed noise due to the difficulty of determining the probability density function of complex, high-dimensional, non-Gaussian, and anisotropic noise.
Ronan Legin   +3 more
doaj   +3 more sources

The Stochastic Stability of Internal HIV Models with Gaussian White Noise and Gaussian Colored Noise

open access: yesDiscrete Dynamics in Nature and Society, 2019
In this paper, the stochastic stability of internal HIV models driven by Gaussian white noise and Gaussian colored noise is analyzed. First, the stability of deterministic models is investigated.
Xiying Wang, Yuanxiao Li, Xiaomei Wang
doaj   +2 more sources

Image Denoising in Mixed Poisson–Gaussian Noise [PDF]

open access: yesIEEE Transactions on Image Processing, 2011
We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson-Gaussian noise. We express the denoising process as a linear expansion of thresholds (LET) that we optimize by relying on a purely data-adaptive unbiased estimate of the mean-squared
Florian, Luisier   +2 more
openaire   +4 more sources

Persistent homology of fractional Gaussian noise [PDF]

open access: yesPhysical Review E, 2021
In this paper, we employ the persistent homology (PH) technique to examine the topological properties of fractional Gaussian noise (fGn). We develop the weighted natural visibility graph algorithm, and the associated simplicial complexes through the filtration process are quantified by PH.
H. Masoomy   +3 more
openaire   +3 more sources

Gaussian Blue Noise

open access: yesACM Transactions on Graphics, 2022
Among the various approaches for producing point distributions with blue noise spectrum, we argue for an optimization framework using Gaussian kernels. We show that with a wise selection of optimization parameters, this approach attains unprecedented quality, provably surpassing the current state of the art attained by the optimal transport (BNOT ...
Ahmed, Abdalla G.M.   +2 more
openaire   +3 more sources

Measuring method of occupational non-Gaussian noise exposure based on kurtosis adjustment

open access: yes环境与职业医学, 2022
The existing measuring methods of noise exposure on the basis of equal energy hypothesis are applicable to Gaussian noise while not fully applicable to non-Gaussian noise.
Yong HU   +5 more
doaj   +1 more source

Effect of non-Gaussian coloured noise on ambient energy harvesting

open access: yesEnergy Reports, 2023
Using nonlinear stochastic dynamics, the impact of non-Gaussian noise is investigated for vibration to electric energy conversion schemes. For the purpose of utilizing noise in energy harvesting, which offers helpful tips for the development of ...
Shrabani Mondal, Santanu Koley
doaj   +1 more source

Applying kurtosis-adjusted cumulative noise exposure to assess occupational hearing loss among furniture manufacturing workers

open access: yes环境与职业医学, 2022
BackgroundOccupational noise-induced hearing loss (NIHL) is one of the most prevalent occupational diseases in the world. With the development of industry, noise sources in the workplace have become increasingly complex.ObjectiveTo apply kurtosis ...
Jiarui XIN   +7 more
doaj   +1 more source

Optimization of capacity in non-Gaussian noise models with and without fading channels for sustainable communication systems

open access: yesHeritage and Sustainable Development, 2023
The highest rate at which information may be reliably sent via a communication link is known as its capacity. In the case of non-Gaussian noise, the capacity of the channel depends on the specific characteristics of the noise, which can cause severe ...
Ghanim A. Al-Rubaye   +2 more
doaj   +1 more source

Rate-compatible LDPC convolutional codes over non-gaussian noise channel [PDF]

open access: yesMATEC Web of Conferences, 2020
This paper is aimed to study the characteristics of the underwater acoustic channel with non-Gaussian noise channel. And Gaussian mixture model (GMM) is utilized to fit the background noise over the non-Gaussian noise channel.
Liu Qiang
doaj   +1 more source

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