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Wheezing sounds detection using multivariate generalized gaussian distributions
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009A wheeze is a continuous, coarse, whistling sound produced in the respiratory airways during breathing, commonly experienced by persons suffering from asthma. In this paper, we present a new method for the detection of wheezing sounds in the normal breathing sounds. In our study we perform an accurate statistical analysis of breathing signals.
S. Le Cam +3 more
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Vehicle verification using Generalized Gaussian Distribution feature descriptor
2014 IEEE International Conference on Consumer Electronics - Taiwan, 2014A 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
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A Fast Parameter Estimation of Generalized Gaussian Distribution
2006 8th international Conference on Signal Processing, 2006Generalized 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 +3 more
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Kullback–Leibler Divergence Between Multivariate Generalized Gaussian Distributions
IEEE Signal Processing Letters, 2019The 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
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Adaptive Bayesian Denoising for General Gaussian Distributed Signals
IEEE Transactions on Signal Processing, 2014We 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
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Fitting Generalized Gaussian Distributions for Process Capability Index
2018The 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 +3 more
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Inferential Aspects of Doubly Truncated Generalized Gaussian Distribution
2020Analyzing 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
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Gaussian Process Regression for Materials and Molecules
Chemical Reviews, 2021Volker L Deringer +2 more
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Gaussian process emulation of spatio-temporal outputs of a 2D inland flood model
Water Research, 2022Soroush Abolfathi +2 more
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