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Published in 2017 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-017-1402-3
Abstract: This paper presents an algorithm for simulating Gaussian random fields with zero mean and non-stationary covariance functions. The simulated field is obtained as a weighted sum of cosine waves with random frequencies and random phases,…
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Keywords:
random fields;
stationary gaussian;
algorithm simulating;
non stationary ... See more keywords
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Published in 2020 at "New Journal of Physics"
DOI: 10.1088/1367-2630/abcce6
Abstract: Coherent scattering of photons is a novel mechanism of optomechanical coupling for optically levitated nanoparticles promising strong, versatile interactions with light and between nanoparticles. We show that it allows efficient deterministic generation of Gaussian entanglement…
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Keywords:
gaussian entanglement;
mode;
stationary gaussian;
levitated nanoparticles ... See more keywords
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Published in 2018 at "International Mathematics Research Notices"
DOI: 10.1093/imrn/rny248
Abstract: Let $f$ be a zero mean continuous stationary Gaussian process on $\mathbb{R}$ whose spectral measure vanishes in a $\delta $-neighborhood of the origin. Then, the probability that $f$ stays non-negative on an interval of length…
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Keywords:
probability stationary;
stationary gaussian;
gaussian process;
non negative ... See more keywords
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Published in 2018 at "Bernoulli"
DOI: 10.3150/16-bej913
Abstract: Given a class of centered Gaussian random fields $\{X_{h}(s),s\in\mathbb{R}^{n},h\in(0,1]\}$, define the rescaled fields $\{Z_{h}(t)=X_{h}(h^{-1}t),t\in\mathcal{M}\}$, where $\mathcal{M}$ is a compact Riemannian manifold. Under the assumption that the fields $Z_{h}(t)$ satisfy a local stationary condition, we study…
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Keywords:
extrema rescaled;
stationary gaussian;
locally stationary;
rescaled locally ... See more keywords