只要预处理、特征抽取及分类得当，时间间隔和实验误差等因素对运动想象识别的影响不大。
With the suitable pretreatment, features extraction and classifier design, the influence, which arose from time interval, experiment error and so on, can be nearly ignored.
通过对测量数据的噪声点过滤，数据精简等预处理，采用NURBS曲线拟合螺杆型线并分析了其拟合误差。
The NURBS curve is used for fitting the screw profile when cloud datas pretreatment is already done such as eliminated noise data and data reduction, the fitting error is also analyzed.
在分析工业过程数据测量误差源的基础上，提出了一种基于模式聚类的数据预处理方法。
Based on the analysis of data measurement error sources in industrial process, this paper presents a data preprocessing method which is based on pattern recognition.
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