Results 1 to 10 of about 442,482 (152)
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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Influence of coherent structure on turbulence characteristics of 0814 strong typhoon Hagupit
Shenzhen Daxue xuebao. Ligong ban, 2022 In order to explore the formation mechanism of the nonstationary wind speed in the eye wall regions and eye region of a typhoon, taking the measured data of No.0814 strong typhoon Hagupit as the research object, we identify and extract the coherent ...
LI Lixiao +5 more
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Leida xuebao, 2022 This study proposes a multi-rank range-spread target detection method for multi-channel array radar under a non-Gaussian clutter background. The method aims to detect the target from real clutter using the multi-channel array radar.
Yongchan GAO +3 more
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A Modified ICA based Process Monitoring Strategy-Case Study of a Steel Billet Manufacturing Unit [PDF]
International Journal of Industrial Engineering and Production Research, 2021 The article highlights the development of a Non-Gaussian Process Monitoring Strategy for a Steel Billet Manufacturing Unit (SBMU). The non-Gaussian monitoring strategy being proposed is based on Modified Independent Component Analysis (ICA) which is a ...
Bhagwan Kumar Mishra, Anupam Das
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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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Non-Gaussian halo assembly bias [PDF]
, 2010 The strong dependence of the large-scale dark matter halo bias on the (local) non-Gaussianity parameter, f_NL, offers a promising avenue towards constraining primordial non-Gaussianity with large-scale structure surveys.
Dolag, Klaus +4 more
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