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Improved significance testing of wavelet power spectrum near data boundaries as applied to polar research
  • 分类：O211.61[理学—概率论与数理统计;理学—数学] TN959.1[电子电信—信号与信息处理;电子电信—信息与通信工程]
  • 作者机构：[1]College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China, [2]State Key Laboratory of Earth Surface Processes and Resource Ecology/College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China, [3]Arctic Centre, University of Lapland, Rovaniemi, Finland, [4]Department of Earth Sciences, Uppsala University, Sweden
  • 相关基金：This research was partially supported by the National Key Science Program for Global Change Research （Grant no. 2010CB950504）, the National High-Technology Research ＆ Development Program of China （863 Program, Grant no. 2010AA012305）, the National Natural Science Foundation of China（Grant no. 41076125）, the Fundamental Research Funds for the Central Universities （Key Program）, and the Polar Climate andEnvironment Key Laboratory.
作者： ZHANG ZhiHua[1], John C Moore[2,3,4]
关键词： 小波功率谱, 数据边界, 时间序列, 测试, 极地, 小波变换分析, 填充方法, 有限长度, Wavelet power spectrum, significance testing, Greenland winter temperature, Baltic sea ice
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