文章基本信息

标题：LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R
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作者：Idris A. Eckley ; Guy P. Nason
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2011
卷号：43
期号：1
页码：1-23
语种：English
出版社：University of California, Los Angeles
摘要：Locally stationary process representations have recently been proposed and applied to both time series and image analysis applications. This article describes an implementation of the locally stationary two-dimensional wavelet process approach in R. This package permits construction of estimates of spatially localized spectra and localized autocovariance which can be used to characterize structure within images.