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Monotonicity of Step Sizes of MSE-Optimal Symmetric Uniform Scalar Quantizers

机译:MSE最优对称均匀标量量化器步长的单调性

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摘要

For generalized gamma probability densities, this paper studies the monotonicity of step sizes of optimal symmetric uniform scalar quantizers with respect to mean squared-error distortion. The principal results are that for the special cases of Gaussian, Laplacian, two-sided Rayleigh, and gamma densities, optimal step size monotonically decreases when the number of levels N increases by two, and that for any generalized gamma density and all sufficiently large N, optimal step size again decreases when N increases by two. Also, it is shown that for a Laplacian density and sufficiently large N, optimal step size decreases when N increases by just one.
机译:对于广义伽马概率密度,本文研究了最佳对称均一标量量化器的步长相对于均方误差失真的单调性。主要结果是,对于高斯,拉普拉斯算子,两面瑞利和伽马密度的特殊情况,当级数N增加2时,最佳步长单调减小,而对于任何广义伽马密度和所有足够大的N ,当N增加2时,最佳步长会再次减小。而且,表明对于拉普拉斯密度和足够大的N,当N仅增加1时,最佳步长减小。

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