ONE-BIT QUANTIZER PARAMETRIZATION FOR ARBITRARY LAPLACIAN SOURCES

D. Aleksić, Z. Perić
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Abstract

In this paper we suggest an exact formula for the total distortion of one-bit quantizer and for the arbitrary Laplacian probability density function (pdf). Suggested formula additionally extends normalized case of zero mean and unit variance, which is the most applied quantization case not only in traditional quantization rather in contemporary solutions that involve quantization. Additionally symmetrical quantizer’s representation levels are calculated from minimal distortion criteria. Note that one-bit quantization is the most sensitive quantization from the standpoint of accuracy degradation and quantization error, thus increasing importance of the suggested parameterization of one-bit quantizer.
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任意拉普拉斯源的一比特量化参数化
本文给出了一比特量化器总失真和任意拉普拉斯概率密度函数(pdf)的精确公式。该公式还扩展了零均值和单位方差的归一化情况,这不仅是传统量化中应用最多的量化情况,也是现代涉及量化的解决方案中应用最多的量化情况。此外,对称量化器的表示水平从最小失真准则计算。请注意,从精度退化和量化误差的角度来看,1位量化是最敏感的量化,因此建议的1位量化器参数化的重要性日益增加。
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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APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS FOR ROAD TYPE CLASSIFICATION LINEAR RECURRENCE RELATONS AND ORDINARY GENERATING FUNCTIONS APPLIED ON MODELING PROCESSES IN CONTROL THEORY PERFORMANCE ANALYSIS OF MRC-SC MACRODIVERSITY RECEPTION OVER GENERALIZED FADING CHANNELS NOVEL EXPONENTIAL TYPE APPROXIMATIONS OF THE Q-FUNCTION ONE-BIT QUANTIZER PARAMETRIZATION FOR ARBITRARY LAPLACIAN SOURCES
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