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A statistical analysis of adaptive quantization based on causalpast

机译:基于因果关系的自适应量化的统计分析过去

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摘要

A statistical estimation framework is proposed for adaptivequantization based on causal past. Different estimation methods aregiven for the marginal density based on the quantized sample. For astationary and ergodic source process, if its marginal density is in aparametric family with a dimension less than the quantization level,then “adaptation” can be achieved when the sample size islarge, i.e., the marginal density can be estimated consistently
机译:提出了一种自适应的统计估计框架 基于因果关系过去的量化。不同的估计方法是 给出基于量化样本的边际密度。为一个 平稳和遍历的源过程,如果其边际密度在 尺寸小于量化级别的参数族, 那么当样本量为 大,即边际密度可以一致地估算

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