generalized gaussian
The Distribution of the Sum of Independent Generalized Gaussian Signals
... independent generalized Gaussian signals is studied in the ...of generalized Gaussian signals is not generalized Gaussian distribution was obtained; the reasoning for the special ...
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Image processing and transmission scheme based on generalized Gaussian mixture with opportunistic networking for wireless sensor networks
... and generalized Gaussian mixture algorithm, an adaptive image processing and transmission scheme is proposed in this ...the generalized Gaussian mixture algorithm is used to reduce the image ...
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Superresolution Imaging for Forward-Looking Scanning Radar with Generalized Gaussian Constraint
... complex Gaussian statistic as distribution characteristic of ...the Generalized Gaussian distribution is considered as the prior information of target scatters distribution for its wide ...
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A Novel Blind Image Watermark Detection Algorithm Based on Generalized Gaussian Distribution
... Applying Generalized Gaussian Distribution to statistically model the Alternating Current coefficient of discrete cosine transform, an adaptive blind watermark detection algorithm is proposed on the basis ...
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An approach for constructing parsimonious generalized Gaussian kernel regression models
... A novel construction algorithm has been developed for the generalized Gaussian kernel model. Each kernel regressor in the pool of candidate regressors has an individual diagonal covariance matrix, which is ...
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Generalized Gaussian Numbers Related to Linear Codes over Galois Rings
... define Generalized Gaussian Numbers as a further generalization of the previous works [10, 11] and give some of their properties similar to Gaussian binomial ...
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STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN MIXTURE MODEL INTEGRATING DCT AND LBP
... 206 information and LBP image is considered for feature vector extraction. The LBP image is divided in to blocks of non overlapping regions. For each block, the DCT coefficients are computed and are selected in zig0zag ...
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Robust Scale Estimation for the Generalized Gaussian Probability Density Function
... Maximum likelihood is a popular estimation method. It relies on the modelling of the probability density function of the residual that expresses the error between each observation and its prediction by the mapping. ...
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Analytical properties of generalized Gaussian distributions
... While the number of applications of the GG distribution is large, many of its properties have been drawn from numerical studies, and few analytical properties of the GG family are known beyond the cases p = 1, 2 and p = ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... WITH GENERALIZED GAUSSIAN DISTRIBUTION In this section we describe the speaker identification ...with Generalized Gaussian distribution using integrating PCA in the system after feature ...
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Alternative Approach to Evaluation of Absorption Correction Factor for Cylinder using Generalised Gaussian Quadrature Rule
... using Generalized Gaussian quadrature rule is presented in detail, the results obtained are in excellent agreement with exact value, the good results shows that further developments of the present procedure ...
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Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
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Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos
... Ziou, “Finite generalized gaussian mixture model- ing and applications to image and video foreground segmentation,” in Canadian Conference on Computer and Robot Vision , 2007, pp. Boutem[r] ...
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The Almost Sure Convergence for Weighted Sums of Linear Negatively Dependent Random Variables
... Some strong limit theorems of weighted sums for negative dependent generalized Gaussian random variables.. Amini M., Azarnoosh H.A, and Bozorgnia A.[r] ...
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Vol 5, No 3 (2014)
... using Gaussian quadrature over various region have been carried out [1-5], Generalized Gaussian quadrature rules over regions with parabolic edges given in [5], evaluation of surface area of an ...
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Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution
... article, generalized Poisson-inverse Gaussian distribution (GPIG) will be presented for the latent variable of N, and the novel model which is obtained will be utilized in analyzing long-term survival data ...
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Propagation Characteristics of Airy Gaussian Beams Passing through a Misaligned Optical System with Finite Aperture
... the generalized Huygens-Fresnel diffraction integral and the expansion of the hard aperture function into a finite sum of complex Gaussian functions are ...
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On the Distribution of Quadratic Expressions in Various Types of Random Vectors
... adjusted generalized gamma and generalized shifted gamma as base density, is another novel contribution of this ...in Gaussian vectors and then, proposed decompositions involving the difference of ...
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Automatic liver segmentation in computed tomography using general-purpose shape modeling methods
... a generalized statistical model, based on a multidimensional Gaussian process, in relation to the classical statistical model is the freedom to select the function of the ...
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Monotonicity, convexity, and inequalities for the generalized elliptic integrals
... MSC: 33C05; 33E05; 26D20 Keywords: generalized elliptic integrals of the first and second kinds; Gaussian hypergeometric function; monotonicity; convexity; inequality.. , the Gaussian hyp[r] ...
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