Time series model of spectrum analysis
2017-12-18
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Because the in-situ displacement sequence has obvious tendency and the degree of dispersion is not very high, the third-order function is used for approximate fitting. Fourier transform, spectrum analysis and singular spectrum analysis are used to extract the trend term of the polynomial fitting residual sequence. ARMA model is used to model the sequence without trend term, that is, random compensation is added to the original displacement model to make the original model more perfect and improve the prediction accuracy; For high-order difference time series method, grey model time series method
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