EnvironmentalWaveletTool: Continuous and discrete wavelet analysis and filtering for environmental time series

A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of several environmental time series, particularly focused on the analyses of cave monitoring data. The continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform have been implemented to provide a fast and precise time–period examination of the time series at different period bands. Moreover, statistic methods to examine the relation between two signals have been included. Finally, the entropy of curves and splines based methods have also been developed for segmenting and modeling the analyzed time series. All these methods together provide a user-friendly and fast program for the environmental signal analysis, with useful, practical and understandable results.

This research was supported by the Spanish Ministry of Science and Innovation, projects CGL2011-25162 and CGL2010-17108. A pre-doctoral research fellowship was awarded to C. Pla for the CGL2011-25162 research project. S. Cuezva was funded by a postdoctoral fellowship from the Spanish Ministry of Science and Innovation, research program Juan de la Cierva.