Results 261 to 270 of about 366,408 (290)

Vehicle verification using Generalized Gaussian Distribution feature descriptor

2014 IEEE International Conference on Consumer Electronics - Taiwan, 2014
A new feature descriptor based on the statistical modeling of wavelet output is proposed for vehicle verification problem. The Generalized Gaussian Distribution (GGD) offers accurate statistical fitting for the real and imaginary part of Gabor and Dual-Tree Complex Wavelet Transform (DT-CWT) output.
Jing-Ming Guo, Heri Prasetyo
openaire   +1 more source

A Fast Parameter Estimation of Generalized Gaussian Distribution

2006 8th international Conference on Signal Processing, 2006
Generalized Gaussian distribution is a class of symmetry distribution with the Gaussian and Laplacian distribution as the special cases, with delta distribution and uniformity distribution as limit. It is widely applied a great many fields. In this paper, we first deduce the Generalized Gaussian parameter ratio function, and then present a fast ...
Taiyue Wang, Hongwei Li, Zhiming Li, Zhihua Wang   +3 more
openaire   +1 more source

Kullback–Leibler Divergence Between Multivariate Generalized Gaussian Distributions

IEEE Signal Processing Letters, 2019
The Kullback–Leibler divergence (KLD) between two multivariate generalized Gaussian distributions (MGGDs) is a fundamental tool in many signal and image processing applications. Until now, the KLD of MGGDs has no known explicit form, and it is in practice either estimated using expensive Monte-Carlo stochastic integration or approximated.
Bouhlel, Nizar, Dziri, Ali
openaire   +2 more sources

Adaptive Bayesian Denoising for General Gaussian Distributed Signals

IEEE Transactions on Signal Processing, 2014
We study behavior of the Bayesian estimator for noisy General Gaussian Distributed (GGD) data and show that this estimator can be well estimated with a simple shrinkage function. The four parameters of this shrinkage function are functions of GGD's shape parameter and data variance.
Masoud Hashemi, Soosan Beheshti
openaire   +1 more source

Fitting Generalized Gaussian Distributions for Process Capability Index

2018
The design process of integrated circuits (IC) aims at a high yield as well as a good IC-performance. The distribution of measured output variables will not be standard Gaussian anymore. In fact, the corresponding probability density function has a more flat shape than in case of standard Gaussian. In order to optimize the yield one needs a statistical
Theo G. J. Beelen, Jos J. Dohmen, E. Jan W. ter Maten, Bratislav Tasić   +3 more
openaire   +1 more source

Inferential Aspects of Doubly Truncated Generalized Gaussian Distribution

2020
Analyzing the data sets of image and signal processing, SQC, speech recognition, biological and industrial experiments is interpreted using generalized Gaussian distribution (GGD). The finite range of the experimental data derived the doubly truncated GGD instead of GGD and explained the importance of the proposed distribution.
Talari Ganesh, Anithakumari Kattamanchi
openaire   +1 more source

Gaussian Process Regression for Materials and Molecules

Chemical Reviews, 2021
Volker L Deringer, Albert P Bartók, Noam Bernstein   +2 more
exaly  

Inverse Gaussian and generalized inverse Gaussian distributions

2021
openaire   +1 more source

Gaussian accelerated molecular dynamics: Principles and applications

Wiley Interdisciplinary Reviews: Computational Molecular Science, 2021
Jin'An Wang, Pablo Pa Arantes, Apurba Bhattarai   +2 more
exaly  

Deep learning-based mixed-dimensional Gaussian mixture model for characterizing variability in cryo-EM

Nature Methods, 2021
Muyuan Chen, Steven J Ludtke
exaly