Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] aetl_v1_0.tar.gz(9605 Kbytes)|
|Manuscript Title: EnvironmentalWaveletTool: Continuous and Discrete Wavelet Analysis and Filtering for environmental time series|
|Authors: J.J. Galiana-Merino, C. Pla, A. Fernandez-Cortes, S. Cuezva, J. Ortiz, D. Benavente|
|Program title: EnvironmentalWaveletTool|
|Catalogue identifier: AETL_v1_0|
Distribution format: tar.gz
|Journal reference: Comput. Phys. Commun. 185(2014)2758|
|Programming language: MATLAB (MathWorks Inc.) version 18.104.22.1687 (R2009a) or higher. Wavelet Toolbox is required.|
|Computer: Developed on a MacBook Pro. Tested on Mac and PC. No computer-specific optimization was performed.|
|Operating system: Any supporting MATLAB (MathWorks Inc.) v22.214.171.1247 (R2009a) or higher. Tested on Mac OS X 10.6.8 and Vista.|
|Keywords: Environmental time series, Continuous Wavelet Transform, Discrete Wavelet Transform, Discrete Wavelet Packet Transform, Segmentation, MATLAB program.|
Nature of problem:
Wavelet analysis has not been widely employed in environmental data since an easy program to specifically process this kind of time series does not exist. In recent years, wavelet analysis has been applied to some situations focused on specific problems and signals, but the extension of these wavelet-based methods to other particular problems is not always a trivial work. In fact, the application to other different situations requires a basic knowledge of the wavelet analysis and their implementation using some standard toolboxes, packages or libraries, such as the MathWorks' Wavelet Toolbox for MATLAB.
The developed MATLAB-based computer code provides a user-friendly and fast program for the simultaneous wavelet analysis and filtering of several environmental time series. The continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform have been implemented to proffer a fast and precise time-period examination of the time series at different period (or frequency) bands. Moreover, other useful tools have been specifically included for the analysis of the environmental time series obtained from cave monitoring, such as filtering, cross-correlation, entropy of curves or splines analyses.
A README file giving the names and a brief description of all the files that make-up the package and clear instructions on the installation and execution of the program is included in the distribution package. Also included are Sample input files.
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