›› 2015, Vol. 24 ›› Issue (4): 49205-049205.doi: 10.1088/1674-1056/24/4/049205
• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇
何文平a, 刘群群b, 姜允迪a, 卢莹c
He Wen-Ping (何文平)a, Liu Qun-Qun (刘群群)b, Jiang Yun-Di (姜允迪)a, Lu Ying (卢莹)c
摘要: In the present paper, a comparison of the performance between moving cutting data-rescaled range analysis (MC-R/S) and moving cutting data-rescaled variance analysis (MC-V/S) is made. The results clearly indicate that the operating efficiency of the MC-R/S algorithm is higher than that of the MC-V/S algorithm. In our numerical test, the computer time consumed by MC-V/S is approximately 25 times that by MC-R/S for an identical window size in artificial data. Except for the difference in operating efficiency, there are no significant differences in performance between MC-R/S and MC-V/S for the abrupt dynamic change detection. MC-R/S and MC-V/S both display some degree of anti-noise ability. However, it is important to consider the influences of strong noise on the detection results of MC-R/S and MC-V/S in practical application processes.
中图分类号: (Abrupt/rapid climate change)