基于多层核主成分提取估计器需要将调制信号的训练样本根据各自的频率进行分层。
The estimator based on kernel principal component extraction requires to stratify the training samples of interested signals with respect to their respective frequencies.
下面这些我们患者的样本根据他们的文法能力被分为五组，图7.11显示出结果。
This subsample of our patients was divided into five groups according to their grammatical ability. Figure 7.11 shows the result.
于是这些复杂的样本根据组成蛋白的化学特性不同被分解成一系列较低复杂性的部分。
These complex samples are broken down into a series of less complex fractions based on the chemical properties of constituent proteins.
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