The thesis researches an algorithm based on decision tree classifier for packet filtering.
本文提出了一种基于决策树分类器的数据包分类算法。
The result shows that the filtering algorithm based on wavelet packet analysis can decrease the random error and improve the measuring precision of laser gyro effectively.
结果表明基于小波包分析的滤波方法能有效减小随机误差，提高激光陀螺的测量精度。
The result shows that the filtering algorithm based on wavelet packet analysis can decrease the random error and improve the measuring precision of laser gyro effectively.
结果表明基于小波包分析的滤波方法能有效减小随机误差，提高激光陀螺的测量精度。
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