• We also set variables to remember the values of any data associated with the option, such as the page length in the case of the "-l" option and the print destination in the case of "-f".

    我们还设置变量以记住与该选项相关联的所有数据的值,例如,有“-l”选项时记下页长,有“-f”时则记下打印目的地。

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  • For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.

    在测量数据含有非高斯潜隐变量的情况下,ICA是比PC A更有效的特征提取算法。

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  • For the case that the measured data contain non-Gaussian latent variables, ICA is more efficient signal extracting algorithm than PCA.

    在测量数据含有非高斯潜隐变量的情况下,ICA是比PC A更有效的特征提取算法。

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