A subsectional recurrence model for the time scale.

Details A subsectional recurrence model for the time scale. A subsectional recurrence model for the time scale.

Aug 1998

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998acasn..39..313k&link_type=abstract

Acta Astron. Sin., Vol. 39, No. 3, p. 313 - 319

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Time Scales, Atomic Time, Time Determination

Scientific paper

The establishment of a time scale is one of the main aims of time measurement. The time scale prediction is necessary for the real atomic time. A subsectional recurrence model for time scale based on wavelet theory is put forward in this paper. It is different from the ARMA(p,q) and the Kalman filter. The ARMA(p,q) model requires that the process should satisfy the stationary condition, while the Kalman filter is not so. The forecast step of the authors' model is finite and the signals are orthogonally analyzed at different frequency scales. The model is checked with data of CSAO. The results show that this method is better than the other in the accuracy of measurements.

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