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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.

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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: Article
Journal or Publication Title: Journal of Statistical Software
Uncontrolled Keywords: random field ; locally stationary ; local autocovariance ; LS2W ; texture analysis ; non-decimated wavelets ; R.
Subjects: Q Science > QA Mathematics
Departments: Faculty of Science and Technology > Mathematics and Statistics
ID Code: 51981
Deposited By: ep_importer_pure
Deposited On: 09 Dec 2011 09:00
Refereed?: Yes
Published?: Published
Last Modified: 09 Apr 2014 22:57
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/51981

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