The output is further processed by higher-order functions wt
, WaveletCoherency
and
wc
, and can be retrieved from analyze.wavelet
and analyze.coherency
.
The name and layout were inspired by a similar function developed by Huidong Tian and Bernard Cazelles (archived R package WaveletCo
).
WaveletTransform(x, dt = 1, dj = 1/20, lowerPeriod = 2*dt, upperPeriod = floor(length(x)*dt/3))
analyze.wavelet
with the following elements:
Aguiar-Conraria L., and Soares M.J., 2011. The Continuous Wavelet Transform: A Primer. NIPE Working Paper Series 16/2011.
Carmona R., Hwang W.-L., and Torresani B., 1998. Practical Time Frequency Analysis. Gabor and Wavelet Transforms with an Implementation in S. Academic Press, San Diego.
Cazelles B., Chavez M., Berteaux, D., Menard F., Vik J.O., Jenouvrier S., and Stenseth N.C., 2008. Wavelet analysis of ecological time series. Oecologia 156, 287--304.
Liu Y., Liang X.S., and Weisberg R.H., 2007. Rectification of the Bias in the Wavelet Power Spectrum. Journal of Atmospheric and Oceanic Technology 24, 2093--2102.
Tian, H., and Cazelles, B., 2012. WaveletCo
. Available at http://cran.r-project.org/src/contrib/Archive/WaveletCo/, archived April 2013; accessed July 26, 2013.
Torrence C., and Compo G.P., 1998. A practical guide to wavelet analysis. Bulletin of the American Meteorological Society 79 (1), 61--78.
wt
, WaveletCoherency
, wc
, analyze.wavelet
, analyze.coherency