Results 11 to 20 of about 340,461 (247)
Observation impact in data assimilation: the effect of non-Gaussian observation error [PDF]
Data assimilation methods which avoid the assumption of Gaussian error statistics are being developed for geoscience applications. We investigate how the relaxation of the Gaussian assumption affects the impact observations have within the assimilation ...
Alison Fowler, Peter Jan Van Leeuwen
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Equivalent non-Gaussian excitation method is developed to obtain the statistical moments up to 4th order of the response of non-Gaussian randomly excited systems. The non-Gaussian excitation is prescribed by the probability density function and the power
Takahiro TSUCHIDA, Koji KIMURA
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Classical simulation of Gaussian quantum circuits with non-Gaussian input states
We consider Gaussian quantum circuits supplemented with non-Gaussian input states and derive sufficient conditions for efficient classical strong simulation of these circuits. In particular, we generalise the stellar representation of continuous-variable
Ulysse Chabaud +3 more
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Gaussian states and measurements collectively are not powerful-enough resources for quantum computing, as any Gaussian dynamics can be simulated efficiently, classically.
Christos N. Gagatsos, Saikat Guha
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Polymerization Induces Non-Gaussian Diffusion
Recent theoretical modeling offers a unified picture for the description of stochastic processes characterized by a crossover from anomalous to normal behavior.
Fulvio Baldovin +2 more
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BackgroundNon-Gaussian noise has become the dominant noise type in industry. However, the epidemiological characteristics of non-Gaussian noise exposure and associated noise-induced hearing loss (NIHL) are still unclear.ObjectiveTo summarize the ...
Zhihao SHI +5 more
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Non-Gaussian Quantum States and Where to Find Them
Gaussian states have played an important role in the physics of continuous-variable quantum systems. They are appealing for the experimental ease with which they can be produced, and for their compact and elegant mathematical description.
Mattia Walschaers
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Multipath Estimation Algorithm Based on Improved Unscented Kalman Filter
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
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SVM Based on Gaussian and Non-Gaussian Double Subspace for Fault Detection
In industrial production processes, the data usually have high-dimensional characteristics. When a support vector machine (SVM) is used for fault detection, it takes a long time to run.
Jinyu Guo, Tao Li, Yuan Li
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Hierarchy of continuous-variable quantum resource theories
Connections between the resource theories of coherence and purity (or non-uniformity) are well known for discrete-variable, finite-dimensional, quantum systems.
Giulio Gianfelici +2 more
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