Journal of Statistical Software (Aug 2011)
LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R
Abstract
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.