LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R

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Authors Idris A. Eckley, Guy P. Nason
Journal/Conference Name Journal of Statistical Software
Paper Category
Paper 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.
Date of publication 2011
Code Programming Language R
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