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• W2604970736 abstract "Abstract Generalized Gaussian distribution (GGD) includes specials cases when the shape parameter equals p = 1 and p = 2. It corresponds to Laplacian and Gaussian distributions respectively. For p → ∞, f ( x ) becomes a uniform distribution, and for p → 0, f ( x ) approaches an impulse function. Chapeau-Blondeau et al. [4] considered another special case p = 0.5. The article discusses more peaky case in which GGD p = 1/3." @default.
• W2604970736 created "2017-04-14" @default.
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• W2604970736 date "2016-12-01" @default.
• W2604970736 modified "2023-10-12" @default.
• W2604970736 title "Reconstructed Quantized Coefficients Modeled with Generalized Gaussian Distribution with Exponent 1/3" @default.
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• W2604970736 doi "https://doi.org/10.1515/ipc-2016-0019" @default.
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