LS2W: implementing the locally stationary 2D wavelet process approach in R.

Eckley, Idris A. and Nason, Guy P. (2011) LS2W: implementing the locally stationary 2D wavelet process approach in R. Journal of Statistical Software, 43 (3). pp. 1-23. ISSN 1548-7660

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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 (LS2W) 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.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Statistical Software
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa
Subjects:
?? RANDOM FIELDLOCALLY STATIONARYLOCAL AUTOCOVARIANCELS2WTEXTURE ANALYSISNON-DECIMATED WAVELETSR.MATHEMATICS AND STATISTICSSOFTWARESTATISTICS AND PROBABILITYSTATISTICS, PROBABILITY AND UNCERTAINTYQA MATHEMATICS ??
ID Code:
51981
Deposited By:
Deposited On:
09 Dec 2011 09:00
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Sep 2023 00:18