Results 11 to 20 of about 1,324,645 (291)

Variational Bayesian inference of linear state space models

open access: yesThe Journal of Engineering, 2019
This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan   +2 more
doaj   +1 more source

Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers

open access: yesSensors, 2020
This paper presents a new proposal to generate optimal pseudorandom numbers with Gaussian distribution. The generator is especially designed for low-cost hardware implementation, although the software version is also considered.
Guillermo Cotrina   +2 more
doaj   +1 more source

Intrabeam scattering growth rates for a bi-gaussian beam [PDF]

open access: yes, 2005
This note finds results for the intrabeam scattering growth rates for a bi-gaussian distribution. The bi-gaussian distribution is interesting for studying the possibility of using electron cooling in RHIC.
Parzen, George
core   +2 more sources

Normality of a non-linear transformation of AR parameters: application to reflection and cepstrum coefficients [PDF]

open access: yes, 1997
Two sets of random vectors cannot both be Gaussian if they are nonlinearly related. Thus, Autoregressive (AR)parameters and reflection coefficient (resp. cepstrum coefficient) estimators cannot both be Gaussian for a finite number of samples.
Tourneret, Jean-Yves
core   +2 more sources

Acoustic Impedance Inversion Using Gaussian Metropolis–Hastings Sampling with Data Driving

open access: yesEnergies, 2019
The Markov chain Monte Carlo (MCMC) method based on Metropolis−Hastings (MH) sampling is a popular approach in solving seismic acoustic impedance (AI) inversion problem, as it can improve the inversion resolution by statistical prior information ...
Hao Wu   +3 more
doaj   +1 more source

An Adaptive Covariance Scaling Estimation of Distribution Algorithm

open access: yesMathematics, 2021
Optimization problems are ubiquitous in every field, and they are becoming more and more complex, which greatly challenges the effectiveness of existing optimization methods.
Qiang Yang   +6 more
doaj   +1 more source

Analysis of concrete damage during testing by explosive charges

open access: yesVojnotehnički Glasnik, 1996
The results of a new testing method for the determination of concrete strength under pressure using small quantities of explosive charges are given. The method is based on the measurement of the crater size on a concrete surface after explosion.
Dragoljub Cvetković
doaj   +1 more source

Generalised discretisation of continuous-time distributions

open access: yesThe Journal of Engineering, 2020
In this study, the definition of discretisation that was proposed recently for continuous-time distributions is made applicable not only to ordinary functions but to a variety of distributions including weak derivatives such that they could be viewed ...
Shin Kawai, Noriyuki Hori, Noriyuki Hori
doaj   +1 more source

Quantitative Models for the Effects of Differential-pressure Manometer Scale Resolution and Hot-wire Voltage Measurement Bit Depth on Gaussian Fluctuation Characteristics [PDF]

open access: yesJournal of Applied Fluid Mechanics
A rigorous analytical framework quantifies the influence of instrument resolution on flow-velocity statistics. Differential-pressure fluctuations recorded by a Pitot tube are assumed Gaussian, whereas pressure-transducer graduations are treated as a ...
H. Fukuhara, H. Suzuki, T. Kouchi
doaj   +1 more source

K-L Divergence Based Image Classification and the Application [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2021
Image classification is widely used in many fields. Traditional metric learning based classification methods always maximize between-class distances and minimize within-class distances based on features calculated from each individual.
Fuhua Chen, Xuemao Zhang, Guangtai Ding
doaj  

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