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Generalized 3D quasi-phase-matching model of image contrast in second harmonic generation microscopy of fibrillar collagen architectures. [PDF]
JPhys PhotonicsShelton EM, Campagnola PJ.
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Complexity of quantum tomography from genuine non-Gaussian entanglement. [PDF]
Nat CommunZhao X +4 more
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A dynamic scale-mixture model of motion in natural scenes. [PDF]
ElifeSalisbury JM, Palmer SE.
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Difference of gaussian measures
Journal of Soviet Mathematics, 1987[For the entire collection of the original see Zbl 0626.00025.] Let H be a Hilbert space with the scalar product \(\) and the norm \(| \cdot | =^{1/2}\). Denote by \({\mathcal S}\) the set of all non-negative selfadjoint trace-class operators in H and by \(\| \cdot \|\) the operator norm in \({\mathcal S}\).
Barsov, S. S., Ul'yanov, V. V.
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Gaussian State Estimation with Non-Gaussian Measurement Noise
2018 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2018Many sensor data fusion approaches are based on physically motivated models. Some of them include non-Gaussian noise like radar clutter or GNSS multipath. Classical fusion algorithms like Kalman filters assume Gaussian noise processes. Nevertheless, they are widely applied to state estimation problems under non-Gaussian noise conditions. We investigate
Andreas Tollkuhn +2 more
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From Gaussian measures to isonormal Gaussian processes
2011We now return to the Gaussian framework and start this chapter by relating multiple stochastic integrals to Hermite polynomials and prove a corresponding chaotic decomposition. We then generalize our setup, by replacing Gaussian measures by isonormal Gaussian processes.
Giovanni Peccati, Murad S. Taqqu
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