Results 31 to 40 of about 844,799 (232)
Singular Vector Perturbation Under Gaussian Noise [PDF]
SIAM Journal on Matrix Analysis and Applications, 2015 We perform a non-asymptotic analysis on the singular vector distribution under Gaussian noise. In particular, we provide sufficient conditions on a matrix for its first few singular vectors to have near normal distribution. Our result can be used to facilitate the error analysis in linear dimension reduction.
openaire +3 more sources
Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]
Serbian Journal of Electrical EngineeringThis paper aims to investigate the impact of non-Gaussian measurement noise on state estimation (SE) results in distribution systems. To this end, the measurement noise is assumed to be distributed according to Gaussian or one of the following ...
Čubonović Stefan +2 more
doaj +1 more source
Remote Sensing, 2023 Non-Gaussian impulsive noise in marine environments strongly influences the detection of weak spectral lines. However, existing detection algorithms based on the Gaussian noise model are futile under non-Gaussian impulsive noise.
Zhen Li, Junyuan Guo, Xiaohan Wang
doaj +1 more source
Switching barrier scaling near bifurcation points for non-Gaussian noise [PDF]
, 2010 We study noise-induced switching of a system close to bifurcation parameter values where the number of stable states changes. For non-Gaussian noise, the switching exponent, which gives the logarithm of the switching rate, displays a non-power-law ...
A. N. Korotkov +8 more
core +3 more sources
Channel-noise tracking for sub-shot-noise-limited receivers with neural networks
Physical Review Research, 2021 Non-Gaussian receivers for optical communication with coherent states can achieve measurement sensitivities beyond the limits of conventional detection, given by the quantum-noise limit (QNL).
M. T. DiMario, F. E. Becerra
doaj +1 more source
A Novel Anti-Jamming Technique for INS/GNSS Integration Based on Black Box Variational Inference
Applied Sciences, 2021 In this paper, a novel anti-jamming technique based on black box variational inference for INS/GNSS integration with time-varying measurement noise covariance matrices is presented. We proved that the time-varying measurement noise is more similar to the
Ping Dong, Jianhua Cheng, Liqiang Liu
doaj +1 more source
Superior Resilience of Non-Gaussian Entanglement against Local Gaussian Noises
Entropy, 2022 Entanglement distribution task encounters a problem of how the initial entangled state should be prepared in order to remain entangled the longest possible time when subjected to local noises. In the realm of continuous-variable states and local Gaussian channels it is tempting to assume that the optimal initial state with the most robust entanglement ...
Sergey Filippov, Alena Termanova
openaire +4 more sources
Estimation from quantized Gaussian measurements: when and how to use dither [PDF]
, 2019 Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise ...
Dawson, Robin M. A. +2 more
core +2 more sources
White Noise Representation of Gaussian Random Fields [PDF]
, 2012 We obtain a representation theorem for Banach space valued Gaussian random variables as integrals against a white noise. As a corollary we obtain necessary and sufficient conditions for the existence of a white noise representation for a Gaussian random ...
Gelbaum, Zachary
core +3 more sources
Robust optimality of Gaussian noise stability [PDF]
Journal of the European Mathematical Society, 2015 We prove that under the Gaussian measure, half-spaces are uniquely the most noise stable sets. We also prove a quantitative version of uniqueness, showing that a set which is almost optimally noise stable must be close to a half-space. This extends a theorem of Borell, who proved the same result but without uniqueness, and it also answers a question of
Mossel, Elchanan, Neeman, Joe
openaire +4 more sources