Results 11 to 20 of about 3,545,087 (293)
Particle filtering with alpha-stable distributions [PDF]
IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 2005 In this paper we introduce a novel sequential Monte Carlo technique, which is based on the family of symmetric alphastable (SalphaS) distributions. Sequential Bayesian estimation generally involves recursive estimation of filtering and predictive distributions of unobserved signals from their noisy measurements.
Mihaylova, LS +4 more
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Statistical Image Fusion with Generalised Gaussian and Alpha-Stable Distributions [PDF]
2007 15th International Conference on Digital Signal Processing, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images. The use of families of generalised Gaussian and alpha-stable distributions for modelling image wavelet coefficients is investigated and methods for estimating distribution parameters are proposed ...
Artur Loza +3 more
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On tails of symmetric and totally asymmetric alpha-stable distributions [PDF]
Probability and Mathematical Statistics, 2020 We estimate up to universal constants tails of symmetric and totally asymmetric 1-dimensional $\alpha$-stable distributions in terms of functions of the parameters of these distributions. In particular, for values of $\alpha$ close to $2$ we specify where exactly the tail changes from being Gaussian and starts to behave like in the Pareto ...
Bednorz, Witold +2 more
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Speech Enhancement with Variational Autoencoders and Alpha-stable Distributions [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 5 pages, 3 figures, audio examples and code available online : https://team.inria.fr/perception/research/icassp2019-asvae/.
Leglaive, Simon +4 more
openaire +3 more sources
Video foreground detection based on symmetric alpha-stable mixture models. [PDF]
, 2010 Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extracting regions of the foreground (moving objects) with the assumptions that the
L Mihaylova +8 more
core +4 more sources
Journal of Pathology Informatics, 2023 Strategies such as ensemble learning and averaging techniques try to reduce the variance of single deep neural networks. The focus of this study is on ensemble averaging techniques, fusing the results of differently initialized and trained networks ...
St. Göb +7 more
doaj +1 more source
On the crossings number of a hyperplane by a stable random process
Karpatsʹkì Matematičnì Publìkacìï, 2018 The numbers of crossings of a hyperplane by discrete approximations for trajectories of an $\alpha$-stable random process (with ...
M.M. Osypchuk
doaj +1 more source
Entropy, 2015 Image denoising is a very important step in cryo-transmission electron microscopy (cryo-TEM) and the energy filtering TEM images before the 3D tomography reconstruction, as it addresses the problem of high noise in these images, that leads to a loss of ...
Soumia Sid Ahmed +5 more
doaj +1 more source
Evaluation of Acoustic Noise Level and Impulsiveness Inside Vehicles in Different Traffic Conditions
Sensors, 2022 Recently, the issue of sound quality inside vehicles has attracted interest from both researchers and industry alike due to health concerns and also to increase the appeal of vehicles to consumers.
Daniel Flor +5 more
doaj +1 more source
On the behavior of EMD and MEMD in presence of symmetric alpha-stable noise [PDF]
, 2014 EmpiricalMode Decomposition (EMD) and its extended versions such as Multivariate EMD (MEMD) are data-driven techniques that represent nonlinear and non-stationary data as a sum of a finite zero-mean AM-FM components referred to as Intrinsic Mode ...
NOLAN, John +4 more
core +1 more source