一种阈值函数与灰预测的组合去噪方法

发布时间：2018-03-20 23:38

本文选题：小波变换　切入点：阈值　出处：《测绘科学》2016年03期 　论文类型：期刊论文

【摘要】：针对传统的灰色预测模型预测精度随步长的增加而逐渐降低的问题,该文采用一种新的阈值及阈值函数对原始数据(信号)进行小波去噪处理,以期增强建模数据(信号)的可靠性,延长模型的预测步长:通过与传统的硬阈值(函数)和软阈值(函数)的比较,验证新阈值及函数对信号的去噪效果;用去噪处理前后的数据分别建立灰预测模型,通过相应的检验指标来判断两函数的预测精度高低。实验结果表明,该阈值及函数与灰预测的组合预测方法是完全可行的,能够在一定程度上提高模型预测的精度和步长。
[Abstract]:Aiming at the problem that the prediction precision of the traditional grey prediction model decreases gradually with the increase of step size, a new threshold and threshold function is used to Denoise the original data (signal) by wavelet transform. In order to enhance the reliability of the modeling data (signal) and extend the prediction step size of the model: compared with the traditional hard threshold (function) and soft threshold (function), the new threshold and the function of signal denoising effect are verified; Using the data before and after denoising, the grey prediction model is established, and the prediction accuracy of the two functions is judged by the corresponding test indexes. The experimental results show that the threshold and the combination of the function and the grey prediction are completely feasible. The precision and step of model prediction can be improved to a certain extent.
【作者单位】：中国矿业大学;
【分类号】：P207

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