... 特征可分性 Feature Separability 可分性度量 Separability Measure 组的可分性 class separability ...
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class separability measure 类别可分离性判据
fisher class separability measure Fisher类可分离度
measure of separability 可分性测度
The average value of separability measure is as high as 91.7%, which indicates that this method is quite effective in the feature extraction of ultrasonic flaw echoes.
结果表明：该方法提取的缺陷回波信号特征值，其可分性测度均值达91.7%，从而证明该方法对超声检测缺陷回波信号的特征提取是相当有效的。
While introducing noise reduction evaluation criteria, which based on class separability measure for noise reduction, this paper evaluated the noise reduction effect of complex vibration signals.
同时引入基于类可分离性测度的降噪评价准则，实现了对复杂振动信号的降噪效果的评价。
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