The minimum distant classification and separable measure based on distance is adopted to analyze the results of recognition.
在识别效果分析中，采用最小距离分类器，并应用基于距离的可分性测度值对不同信噪比时模式特征的优劣进行了评价。
参考来源 - 基于时频分析目标回波识别方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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.
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。
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.
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