ispresentedhere.Non-linearseriesaredecomposedintostationaryIMFsandresidualcomponents,andthentheselectedhighfrequencyIMFsarede-noisedwiththewaveletmodel.Finally,theEMDreco... is
presented here. Non-linear series are decomposed into
stationary
IMFs and residual components, and then the
selected
high frequency IMFs are de-noised with the
wavelet
model. Finally, the EMD reconstruction gives the
extracted
system error series. Some evaluation standards
for
proving the effectiveness of the proposed
methodology
are also given.
In
this paper, DD systematic errors are isolated with the
EMD-Wavelet
model and integrated into the baseline
computation
for a higher accuracy baseline solution.
Experimental
results show improvements in reliability
and
the residual series of the baseline solution.
…介绍如下:
把一些非线性级数分解为不变的初始质量函数(IMF)和残留成分,然后把选择的高频初始质量函数用电子动量密度微波模型消除干扰,Z后电子动量密度的再现会产生萃取的系统误差级数,一些为得出检验候选方法的有效性的赋值标准同时也会产生。
本文中,数字数据(DD)系统误差用电子动量密度(EMD)微波模型隔离并且并入为得出较高精确度的基本解决方案的初始计算。实验结果显示了可靠性方面的改进和基本解决方案的残留级数。