迈向“有效年龄”概念

C. Kam, S. Kompella, G. Nguyen, J. Wieselthier, A. Ephremides
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引用次数: 11

摘要

由于对于马尔可夫信号,年龄最小化通常意味着预测误差最小化,因此我们在本文中追求年龄与我们所谓的有效年龄之间的潜在联系。有效年龄被粗略地定义为一个与年龄相关的度量,它捕获信号的信息结构和所使用的采样模式,并且当误差最小化时,它被最小化。我们考虑了采样机制和信号模型的几种选择,并评估了年龄和预测/估计误差,作为寻求有意义的有效年龄概念定义的步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards an “Effective Age” Concept
Since for Markov signals age minimization generally implies prediction error minimization, we pursue in this paper the potential connection between age and what we call effective age. Effective age is loosely defined as an age-related metric that captures both the information structure of the signal and the sampling pattern that is used, and that it is minimized when the error is minimized. We consider several options for sampling mecha nisms and signal models, and we evaluate age and prediction/estimation errors as steps in the quest for a meaningful effective age concept definition.
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