Results 41 to 50 of about 6,708 (120)
Statistical Characterisation of GNSS Data for a Stationary Receiver using Non-Gaussian Distributions
Accurately characterising datasets is crucial for effective statistical modelling, particularly when analysing Global Navigation Satellite System (GNSS) data.
Bantu Abu, Wiora Józef
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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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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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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-Gaussianity from inflation [PDF]
Correlated adiabatic and isocurvature perturbation modes are produced during inflation through an oscillation mechanism when extra scalar degrees of freedom other than the inflaton field are present. We show that this correlation generically leads to sizeable non-Gaussian features both in the adiabatic and isocurvature perturbations.
BARTOLO, NICOLA +2 more
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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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Extreme combination of wind effects and analysis of wind load characteristics for low-rise buildings
Based on transcendental probability theory, the probability density functions of two non-Gaussian scalar sums of wind effects are derived from the relationship between the probability density of the sum of random variables and the joint probability ...
Haiwei Guan +3 more
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TRANSPORT TECHNIQUES FOR NON-GAUSSIANITY [PDF]
This proceedings contribution provides a brief update on the transport approach to calculating the statistics of perturbations produced during inflation. It is based in particular on work in collaboration with Gemma Anderson and David Seery.
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Non-Gaussianity as a particle detector
We study the imprints of massive particles with spin on cosmological correlators. Using the framework of the effective field theory of inflation, we classify the couplings of these particles to the Goldstone boson of broken time translations and the graviton.
Hayden Lee +2 more
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Number counts and non-Gaussianity [PDF]
We describe a general procedure for using number counts of any object to constrain the probability distribution of the primordial fluctuations, allowing for generic weak non-Gaussianity. We apply this procedure to use limits on the abundance of primordial black holes and dark matter ultracompact minihalos (UCMHs) to characterize the allowed statistics ...
Shandera, Sarah +3 more
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