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。
The basic criterion of this noise reduction method is to seek the physical rationality of the electromagnetic data after the noise reduction processing.
物理去噪法去噪的准则是寻求去噪后的电磁数据具有物理上的合理性。
From the Angle of engineering application, the paper studies signals division and reconstruction, signals strangeness detection, data condensation and reconstruction, and signals noise reduction.
从工程应用的角度出发，进行信号的分解与重构、信号的奇异性检测、数据的压缩与重构、信号的消噪等若干方面的研究。
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