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.
Full text not available from this repository.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: | 26 Jul 2012 19:59 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/51981 |
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