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On quantizer distortion and the upper bound for exponential entropy

机译:关于量化器失真和指数熵的上限

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A sharp upper bound is derived for the exponential entropy in the class of absolutely continuous distributions with specific standard deviation and an exact description of the extremal distributions. This result is interpreted as determining the least favorable cases for certain methods of quantization of analog sources. It is known that for a large class of quantizers (both zero-memory and vector) the rth power distortion, as well as some other distortion criteria, are bounded below by a constant, depending on r, multiplied by a certain integral of the source's probability density. It is pointed out that this bound can be rewritten in terms of the exponential entropy. The exponential entropy measures the quantitative extent or range of the source distribution. This fact gives a physical interpretation of the indicated limits of quantizer performance, further elucidated by the main result.
机译:在具有特定标准偏差和极值分布的精确描述的绝对连续分布类别中,为指数熵导出了一个尖锐的上限。该结果被解释为确定某些模拟源量化方法的最不利情况。众所周知,对于一大类量化器(零内存和矢量),第r个功率失真以及一些其他失真准则在下面由一个常数来限制,该常数取决于r,并乘以源信号的某个整数概率密度。要指出的是,可以根据指数熵来重写该界限。指数熵衡量源分布的定量范围或范围。这一事实给出了对量化器性能极限的物理解释,主要结果进一步阐明了这一点。

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