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窗口的长度是一个非常关键的调整参数的奇异谱分析(SSA)技术。为在SSA应用中找到窗口长度的最佳值,可使用周期谱图分析法进行SSA窗口长度的选择。佛罗里达州的降水数据含有一些潜在的周期性,使用周期谱分析方法的应用方法确定窗口长度,提取降水时间序列的潜在降雨周期,能有效进行降水预报分析,结果成功确认周期谱分析可以在SSA应用中选择窗口长度提供有效的帮助。
The length of the window is a very critical Singular Spectrum Analysis (SSA) technique that adjusts the parameters. To find the best value for window length in SSA applications, use the Period Spectrum Analysis method to select the SSA window length. The precipitation data in Florida contains some potential cyclicality. The window length is determined by the application of the periodic spectral analysis method, and the potential rainfall period of the precipitation time series can be extracted, which can effectively predict the precipitation. The results confirm that the periodic spectrum analysis can be successfully applied in SSA Choose window length to provide effective help.