问题描述:
英语翻译
For trend extraction of the systematic errors using the
EMD-Wavelet model,the EMD of PRN21-17 is shown in
Figure 13.The criterion for high frequency IMFs and low
frequency IMFs discrimination is given below.Flandrin et
al.(2004) suggests that the Standardized Empirical Mean
(SEM) of the fine-to-coarse EMD reconstruction can be
considered for the discrimination of high frequency and
low frequency IMFs (Figure 14).Based on the case that
the change point is 3 IMFs,each high frequency IMFs
(from IMF1 to IMF3) is de-noised with a wavelet
shrinkage noise reduction model,and then EMD
reconstruction gives the extracted trend.Another three
DD systematic trends are extracted with the same model
(Figure 15),and the residuals are shown in Figure 16.The
extracted trend is input into the DD observation equation
for baseline calculation.The residual series shows an
apparent random characteristic and most of the trend is
removed.
For trend extraction of the systematic errors using the
EMD-Wavelet model,the EMD of PRN21-17 is shown in
Figure 13.The criterion for high frequency IMFs and low
frequency IMFs discrimination is given below.Flandrin et
al.(2004) suggests that the Standardized Empirical Mean
(SEM) of the fine-to-coarse EMD reconstruction can be
considered for the discrimination of high frequency and
low frequency IMFs (Figure 14).Based on the case that
the change point is 3 IMFs,each high frequency IMFs
(from IMF1 to IMF3) is de-noised with a wavelet
shrinkage noise reduction model,and then EMD
reconstruction gives the extracted trend.Another three
DD systematic trends are extracted with the same model
(Figure 15),and the residuals are shown in Figure 16.The
extracted trend is input into the DD observation equation
for baseline calculation.The residual series shows an
apparent random characteristic and most of the trend is
removed.
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