为了平衡物联网系统的不同组件的要求，本文提出自适应多重采样速率调度算(AMSRS)。
In this paper, to balance the requests from different components in IoT system, an adaptive multiple sampling rate scheduling (AMSRS) algorithm is proposed.
它使用随机数5生成器通过重复地根据不确定变量的概率分布采样来生成模型的多重情境。
It typically USES random number 5 generators to generate multiple scenarios of a model by repeatedly sampling values from the probability distributions for the uncertain variables.
针对正弦信号时差估计的多解模糊问题，提出采用多周期取点欠采样和多重相关方法来解决。
To resolve the problem of time-delay estimation for sub-sampling sinusoidal signals, a new method composed of multi-period sampling and multi-layer correlation is proposed.
针对正弦信号时差估计的多解模糊问题，提出采用多周期取点欠采样和多重相关方法来解决。
To resolve the problem of time-delay estimation for sub-sampling sinusoidal signals, a new method composed of multi-period sampling and multi-layer correlation is proposed.
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