Noise Reduction Analysis of Shanxi GNSS Time Series Based on Empirical Mode Decomposition
This paper analyzes Shanxi GNSS time series based on Empirical Mode Decomposition(EMD).First,we decompose the o-riginal time series to obtain the intrinsic mode components(IMF)of different frequencies.Secondly,according to the similarity and smoothness rules,we select the reconstructed intrinsic mode components(IMF)and reconstruct them.Finally,we calculate the change of the sequence's signal-to-noise ratio before and after noise reduction,the energy percentage of the sequence after noise re-duction in the sequence before noise reduction,and the correlation coefficients to evaluate the noise reduction effect.The calculation results show that the EMD method combined with the similarity and smoothness rules can effectively separate the noise signals in the series and obtain reliable and high-accuracy millimeter-level time series,providing better services for earthquake prediction busines-ses.
Empirical Mode Decomposition(EMD)GNSS time seriesnoise
NETL
NSTL
万方数据
