An introduction to wavelet analysis with applications to vegetation time series

被引：1

作者：

Percival D.B. ^{[1
]}

Wang M. ^{[2
]}

Overland J.E. ^{[3
]}

机构：

[1] Applied Physics Laboratory, University of Washington, Seattle

[2] Joint Inst. Study Atmosphere/Ocean, University of Washington, Seattle

[3] Pac. Mar. Environmental Laboratory, NOAA, Seattle, WA 98115-6349

来源：

Community Ecology | 2004年 / 5卷 / 1期

关键词：

Discrete wavelet transform; Köppen classification; Multiresolution analysis; Time series analysis;

D O I：

10.1556/ComEc.5.2004.1.3

中图分类号：

学科分类号：

摘要：

Wavelets are relatively new mathematical tools that have proven to be quite useful for analyzing time series and spatial data. We provide a basic introduction to wavelet analysis which concentrates on their in interpretation in the context of analyzing time series. We illustrate the use of wavelet analysis on time series related to vegetation coverage in the Arctic region. © Akadémiai Kiadó, Budapest.

引用

页码：19 / 30

页数：11

共 23 条

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