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Superior Resilience of Non-Gaussian Entanglement against Local Gaussian Noises [PDF]
Entropy, 2022 Entanglement distribution task encounters a problem of how the initial entangled state should be prepared in order to remain entangled the longest possible time when subjected to local noises. In the realm of continuous-variable states and local Gaussian
Sergey Filippov, Alena Termanova
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Quantifying Non-Gaussian Diffusion in Transient Microscopy Using Excess Kurtosis. [PDF]
J Phys Chem LettArévalo Rodríguez E +3 more
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Foundations for Universal Non‐Gaussian Data Assimilation
Geophysical Research Letters, 2023 In many applications of data assimilation, especially when the size of the problem is large, a substantial assumption is made: all variables are well‐described by Gaussian error statistics.
Senne Van Loon, Steven J. Fletcher
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Gaussian processes non‐linear inverse reinforcement learning
IET Cyber-systems and Robotics, 2021 The authors analyse a Bayesian framework for posing and solving inverse reinforcement learning (IRL) problems that arise in decision‐making and optimisation settings.
Qifeng Qiao, Xiaomin Lin
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Multiplicative Non‐Gaussian Model Error Estimation in Data Assimilation
Journal of Advances in Modeling Earth Systems, 2022 Model uncertainty quantification is an essential component of effective data assimilation. Model errors associated with sub‐grid scale processes are often represented through stochastic parameterizations of the unresolved process.
S. Pathiraja, P. J. vanLeeuwen
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IET Control Theory & Applications, 2021 The characteristic of the external noise has significant influences on system modelling and identification, and the assumption that the noise follows the Gaussian distribution may be invalid due to realistic reasons.
Xuehai Wang, Feng Ding
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Optimal Lp filtering for discrete‐time non‐Gaussian dynamic systems
IET Control Theory & Applications, 2021 This paper investigates the Lp filtering problem for linear dynamic systems. The main objective is to discuss the optimal filter for non‐Gaussian systems.
Elham Javanfar, Mehdi Rahmani
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Absorptive Weak Plume Detection on Gaussian and Non-Gaussian Background Clutter
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 For additive signals on Gaussian clutter, the optimal detector is a linear matched filter that is adapted to the known signal and the covariance of the background. This adaptive matched filter is widely used for gas-phase plume detection, even though the
James Theiler
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Water Resources Research, 2023 Inverse modeling of hydraulic tomography (HT) is computationally expensive for estimating high‐dimensional hydrogeologic parameter fields. In this work, we develop a novel method called HT‐INV‐NN, which combines dimensionality reduction techniques with a
Quan Guo, Ming Liu, Jian Luo
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Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma. [PDF]
PLoS ONE, 2014 PURPOSE:To technically investigate the non-Gaussian diffusion of head and neck diffusion weighted imaging (DWI) at 3 Tesla and compare advanced non-Gaussian diffusion models, including diffusion kurtosis imaging (DKI), stretched-exponential model (SEM ...
Jing Yuan +6 more
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