Results 31 to 40 of about 366,408 (290)

Duration Distribution and Up-crossings Rate of Generalized Hyperbolic Processes

open access: yesAustrian Journal of Statistics, 2016
A Gaussian process is usually used to model the sea surface elevation in the oceanography. As the depth of the water decreases or the sea severity increases, the sea surface elevation departs from symmetry and Gaussianity. In this paper, a stationary non-
Moh’d T. Alodat, Khalid M. Aludaat
doaj   +1 more source

The Sampling Distribution of the Total Correlation for Multivariate Gaussian Random Variables

open access: yesEntropy, 2019
The sampling distribution of the total correlation (TC) for a d-dimensional standardized multivariate Gaussian random variable with an identity covariance matrix is derived. It is shown to be the distribution of a sum of generalized beta random variables.
Taylor Rowe, Troy Day
doaj   +1 more source

An RMT-based generalized Bayesian information criterion for signal enumeration

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
This paper provides a method for enumerating signals impinging on an array of sensors based on the generalized Bayesian information criterion (GBIC). The proposed method motivates by a statistic for testing the sphericity of the covariance matrix when ...
Shoucheng Yuan, Bin Zhang
doaj   +1 more source

Gaussian Distributed Noise Generator Design Using MCU-STM32

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications system testing, input noise in testing ADC (Analog to Digital Converter) devices as well as testing
M. Nanak Zakaria   +3 more
openaire   +3 more sources

Multiplying a Gaussian Matrix by a Gaussian Vector

open access: yes, 2017
We provide a new and simple characterization of the multivariate generalized Laplace distribution. In particular, this result implies that the product of a Gaussian matrix with independent and identically distributed columns by an independent isotropic ...
Mattei, Pierre-Alexandre
core   +1 more source

A Bivariate Extension of Type-II Generalized Crack Distribution for Modeling Heavy-Tailed Losses

open access: yesMathematics
As an extension of the (univariate) Birnbaum–Saunders distribution, the Type-II generalized crack (GCR2) distribution, built on an appropriate base density, provides a sufficient level of flexibility to fit various distributional shapes, including heavy ...
Taehan Bae, Hanson Quarshie
doaj   +1 more source

Eigenvector Distribution of Wigner Matrices [PDF]

open access: yes, 2011
We consider $N\times N$ Hermitian or symmetric random matrices with independent entries. The distribution of the $(i,j)$-th matrix element is given by a probability measure $\nu_{ij}$ whose first two moments coincide with those of the corresponding ...
Knowles, Antti, Yin, Jun
core   +1 more source

Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation

open access: yesEURASIP Journal on Advances in Signal Processing, 2018
In this paper, statistical-model generalizations of independent low-rank matrix analysis (ILRMA) are proposed for achieving high-quality blind source separation (BSS). BSS is a crucial problem in realizing many audio applications, where the audio sources
Daichi Kitamura   +7 more
doaj   +1 more source

Nonextensive aspects of small-world networks

open access: yes, 2005
Nonextensive aspects of the degree distribution in Watts-Strogatz (WS) small-world networks, $P_{SW}(k)$, have been discussed in terms of a generalized Gaussian (referred to as {\it $Q$-Gaussian}) which is derived by the three approaches: the maximum ...
Abe   +23 more
core   +1 more source

The Use of Generalized Gaussian Distribution in Vibroacoustic Detection of Power Transformer Core Damage

open access: yesEnergies, 2020
Vibroacoustic diagnostics (VM—Vibroacoustic Method) is one of the methods for diagnosing the active part of power transformers. Measurement technologies have been refined over the past several years, but the methods of analyzing data obtained in VM ...
Robert Krupiński, Eugeniusz Kornatowski
doaj   +1 more source

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