Results 51 to 60 of about 844,799 (232)
Spectra for the Product of Gaussian Noises [PDF]
Metrology and Measurement Systems, 2012 Abstract Products of Gaussian noises often emerge as the result of non-linear detection techniques or as parasitic effects, and their proper handling is important in many practical applications, including fluctuation-enhanced sensing, indoor air or environmental quality monitoring, etc.
Kish László Béla +3 more
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Performance evaluation of Nakagami‐m fading with impulsive noise
IET Communications, 2021 The main motivation for considering noise to be Gaussian is the central limit theorem (CLT), which accounts for the perturbations that are additive in nature.
Umer Ashraf, Gh. Rasool Begh
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Dependence Balance Based Outer Bounds for Gaussian Networks with Cooperation and Feedback
, 2008 We obtain new outer bounds on the capacity regions of the two-user multiple access channel with generalized feedback (MAC-GF) and the two-user interference channel with generalized feedback (IC-GF).
Tandon, Ravi, Ulukus, Sennur
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Entropy-Based Anomaly Detection for Gaussian Mixture Modeling
Algorithms, 2023 Gaussian mixture modeling is a generative probabilistic model that assumes that the observed data are generated from a mixture of multiple Gaussian distributions. This mixture model provides a flexible approach to model complex distributions that may not
Luca Scrucca
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Tumor state transitions driven by Gaussian and non-Gaussian noises
Mechanobiology in Medicine, 2023 Tumor state transitions between the excited (high-concentration) and nonexcited (low-concentration) basins under the Gaussian white noise and non-Gaussian colored noise are investigated via the most probable steady states (MPSS) and the first escape probability (FEP)-based stochastic basin of attraction (SBA), respectively.
Mengjiao Hua, Yu Wu
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Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration [PDF]
, 2021 Theodoros Tsiligkaridis +1 more
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Poisson-noise induced escape from a metastable state
, 2010 We provide a complete solution of the problems of the probability distribution and the escape rate in Poisson-noise driven systems. It includes both the exponents and the prefactors. The analysis refers to an overdamped particle in a potential well.
J. Zou +6 more
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An efficient method to remove mixed Gaussian and random-valued impulse noise
PLoS ONE, 2022 Mixed Gaussian and Random-valued impulse noise (RVIN) removal is still a big challenge in the field of image denoising. Existing denoising algorithms have defects in denoising performance and computational complexity.
Mengdi Xing, Guorong Gao
doaj
Multipartite entanglement and purity dynamics in classical channels influenced by fractional Gaussian noise [PDF]
, 2021 Muhammad Sufyan Javed +3 more
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, 2013 In this paper we are interested in the Maximum Likelihood Estimator (MLE) of the vector parameter of an autoregressive process of order $p$ with regular stationary Gaussian noise.
Brouste, Alexandre +2 more
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