Self adaptive predictor is used to extract periodic signals with unknown frequencies from wide band random noise background.
自适应预估器能用来提取宽带随机噪声背景中未知频率的周期性信号。
By means of the principle of correlation analysis, this paper introduces an approximate method for estimating signal-to-noise ratio on random noise background.
本文利用相关分析的原理,提出一种在随机噪音的背景上估算信噪比的近似方法。
In most situations, this cognitive wiring helps us: it enables us to pick important information out of a background of random noise.
在大多数情况下,这种认知接线方式可以帮助我们:它使我们能在随机嘈杂背景下挑选出重要信息。
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