Firstly to select the bands that have class separability by K2 algorithm, then remove the redundant bands based on conditional mutual information test.
使用K2结构学习算法选出具有类别可分性的波段，进一步利用互信息测试对遥感波段之间的相关性做分析，去除冗余信息。
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。
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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