Reconstructed Quantized Coefficients Modeled with Generalized Gaussian Distribution with Exponent 1/3

R. Krupiński
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引用次数: 8

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.
用指数为1/3的广义高斯分布重构量化系数
广义高斯分布(GGD)包含形状参数= p = 1和p = 2时的特殊情况。它分别对应于拉普拉斯分布和高斯分布。当p→∞时,f(x)趋于均匀分布,当p→0时,f(x)趋于脉冲函数。Chapeau-Blondeau等[4]考虑了另一种特殊情况p = 0.5。本文讨论了GGD p = 1/3时的峰值情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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