提出了用来处理含有噪音的测试压力数据的光顺样条滤波算法。
An algorithm called smooth spline filter is presented to pre-processing a set of measured pressure data.
实例应用结果表明，经光顺样条滤波处理后，能提高沉降数据分析的精度。
The method is employed to deal with a consolidation test data error, to show its effectiveness Results show that after treatment the precision of settlement analysis is higher than ever before.
从三次样条函数入手，提出一种新的适合非平稳数据分析的预测滤波器设计方法。
The paper presents a new method to design a predictive filter which suits to analyze non-stationary data.
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