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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

INTERFERENCE DETECTION IN GAUSSIAN NOISE [PDF]

open access: yesThe Astronomical Journal, 2011
Interference detection in gaussian noise is proposed. It can be applied for easy detection and editing of interference lines in radio spectral line observations. One need not know the position of occurence or keep track of interference in the band. Results obtained on real data have been displayed.
Abramowitz   +5 more
openaire   +3 more sources

Assessment of Occupational Hearing Loss Associated With Non-Gaussian Noise Using the Kurtosis-Adjusted Cumulative Noise Exposure Metric: A Cross-Sectional Survey [PDF]

open access: yesFrontiers in Psychology, 2022
ObjectiveThere is little literature on the validity of kurtosis-adjusted noise energy metrics in human studies. Therefore, this study aimed to validate the application of cumulative noise exposure (CNE) adjusted by kurtosis in evaluating occupational ...
Zhihao Shi   +5 more
doaj   +2 more sources

Exponential increase of transition rates in metastable systems driven by non-Gaussian noise [PDF]

open access: yesScientific Reports, 2023
Noise-induced escape from metastable states governs a plethora of transition phenomena in physics, chemistry, and biology. While the escape problem in the presence of thermal Gaussian noise has been well understood since the seminal works of Arrhenius ...
Adrian Baule, Peter Sollich
doaj   +2 more sources

Developing a guideline for measuring workplace non-Gaussian noise exposure based on kurtosis adjustment of noise level in China [PDF]

open access: yesFrontiers in Public Health, 2022
ObjectiveThere is no unified standard for measuring workplace non-Gaussian noise (known as complex noise) exposure. This study aimed to develop a draft guideline for measuring workplace non-Gaussian complex noise exposure based on noise temporal ...
Meibian Zhang   +8 more
doaj   +2 more sources

CRLBs for Pilot-Aided Channel Estimation in OFDM System under Gaussian and Non-Gaussian Mixed Noise [PDF]

open access: yesRadioengineering, 2012
The determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of channel estimation in wireless communication is a very important issue. Several CRLBs on channel estimation have been derived for Gaussian noise.
J.Y. Huang, P. Wang, X.F. Shen
doaj   +2 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

Non-Gaussian noise spectroscopy with a superconducting qubit sensor [PDF]

open access: yesNature Communications, 2019
Accurately characterizing the noise influencing quantum devices is instrumental to improve coherence properties and design more robust control protocols. Sung et al.
Youngkyu Sung   +11 more
doaj   +2 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

Multipath Estimation Algorithm Based on Improved Unscented Kalman Filter

open access: yesTaiyuan Ligong Daxue xuebao, 2023
Purposes In navigation and positioning system, the multipath estimation algorithms based on Kalman filter framework can effectively improve the positioning accuracy.
Jinheng ZHANG   +4 more
doaj   +1 more source

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