Results 71 to 80 of about 705,169 (181)
Compressed matched filter for non-Gaussian noise
We consider estimation of a deterministic unknown parameter vector in a linear model with non-Gaussian noise. In the Gaussian case, dimensionality reduction via a linear matched filter provides a simple low dimensional sufficient statistic which can be ...
Vovnoboy, Jakob, Wiesel, Ami
core +1 more source
The paper proposes a new Kalman filtering (KF) algorithm called VBI-MCKF that combines the variational Bayesian inference (VBI)-based KF algorithm and the maximum correntropy KF (MCKF) for visual tracking problem.
Haoran Ma +3 more
doaj +1 more source
Peningkatan Kualitas Citra CT-Scan dengan Penggabungan Metode Filter Gaussian dan Filter Median
Perkembangan alat teknologi akuisisi citra medis, satu diantaranya adalah teknologi yang lazim disebut CT-scan. CT-Scan (Computed Tomography Scan) adalah prosedur untuk mendapatkan gambaran dari berbagai area kecil dari tulang termasuk tengkorak kepala ...
Sumijan Sumijan Sumijan +2 more
doaj +1 more source
A moment approach to non-Gaussian colored noise [PDF]
22 pages, 6 figures; accepted in Physica A with augmented ...
openaire +2 more sources
Dynamical suppression of telegraph and 1/f noise due to quantum bistable fluctuator
We study dynamical decoupling of a qubit from non gaussian quantum noise due to discrete sources, as bistable fluctuators and 1/f noise. We obtain analytic and numerical results for generic operating point.
A. D’Arrigo +11 more
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Spatial Matérn Fields Driven by Non‐Gaussian Noise [PDF]
AbstractThe article studies non‐Gaussian extensions of a recently discovered link between certain Gaussian random fields, expressed as solutions to stochastic partial differential equations (SPDEs), and Gaussian Markov random fields. The focus is on non‐Gaussian random fields with Matérn covariance functions, and in particular, we show how the SPDE ...
openaire +1 more source
Channel Estimation Using Linear Regression with Bernoulli–Gaussian Noise
This study introduces a novel mathematical framework for a machine learning algorithm tailored to address linear regression problems in the presence of non-Gaussian estimation noise.
Prerna Chaudhary +3 more
doaj +1 more source
Distributions of Conductance and Shot Noise and Associated Phase Transitions
For a chaotic cavity with two indentical leads each supporting N channels, we compute analytically, for large N, the full distribution of the conductance and the shot noise power and show that in both cases there is a central Gaussian region flanked on ...
F. G. Tricomi +7 more
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We investigate non-Gaussian noise second-order filtering and fixed-order smoothing problems for non-Gaussian stochastic discrete systems with packet dropouts.
Huihong Zhao +3 more
doaj +1 more source
Non-stationary self-similar Gaussian processes as scaling limits of power law shot noise processes and generalizations of fractional Brownian motion [PDF]
We study shot noise processes with Poisson arrivals and non-stationary noises. The noises are conditionally independent given the arrival times, but the distribution of each noise does depend on its arrival time. We establish scaling limits for such shot
Pang, G., Taqqu, Murad
core

