Taking noise recognition and noise reduction of traffic volume time series which are commonly used traffic data as example, several experimental results are illustrated.
以常用的交通数据———交通量时间序列的实测数据为例，给出多个噪声识别及消噪预处理的实验结果。
More importantly, it can integrate the noise reduction and data compression process, and yield good result on processing the SAR images.
更重要的是，它将噪声抑制与数据压缩过程同时进行，在对SAR雷达图象的处理上取得了良好的效果。
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.
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。
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