Results 11 to 20 of about 5,243,869 (304)
Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution
The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed,
Yan Liang +4 more
doaj +2 more sources
Applying Gaussian distributed constraints to Gaussian distributed variables [PDF]
34 pages, 12 figures, accepted to Information Fusion. Updated to fix minor errors in equations (33), (34), and (B.12)
Andrew W. Palmer +2 more
openaire +2 more sources
On the gaussian distribution of strings [PDF]
We propose in this paper a definition of the normal law on the space of strings. This definition allows generations of sets of strings that have controlled statistical features. Moreover, we apply with success a method of estimation of the mean and standard deviation of a normal string distribution.
Sébastien Rebecchi, Jean-Michel Jolion
openaire +2 more sources
The Probabilistic Deconvolution of the Distribution of Relaxation Times with Finite Gaussian Processes [PDF]
Electrochemical impedance spectroscopy (EIS) is a tool widely used to study the properties of electrochemical systems. The distribution of relaxation times (DRT) has emerged as one of the main methods for the analysis of EIS spectra.
Francesco , Ciucci +3 more
core +2 more sources
On the Gaussian q-distribution
We present a study of the Gaussian q-measure introduced by Diaz and Teruel from a probabilistic and from a combinatorial viewpoint. A main motivation for the introduction of the Gaussian q-measure is that its moments are exactly the q-analogues of the double factorial numbers. We show that the Gaussian q-measure interpolates between the uniform measure
Díaz, Rafael, Pariguan, Eddy
openaire +3 more sources
Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers
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
Acoustic Impedance Inversion Using Gaussian Metropolis–Hastings Sampling with Data Driving
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
Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm
Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. In this method ,truncation method and Hampel filtering method are
QIN Yiyuan +4 more
doaj +1 more source
Analysis of concrete damage during testing by explosive charges
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
Background. Russia occupies a leading position in the global extraction of minerals, meeting all the demands of Russian economy. The efficiency of resources development determines the efficiency of both the oil and gas industry, as well as related ...
B. A. Ovezov
doaj +1 more source

