% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/smooth.wavelet.R
\name{smooth.wavelet}
\alias{smooth.wavelet}
\title{Smooth wavelet in both the time and scale domains}
\usage{
smooth.wavelet(wave, dt, dj, scale)
}
\arguments{
\item{wave}{wavelet coefficients}

\item{dt}{size of time steps}

\item{dj}{number of octaves per scale}

\item{scale}{wavelet scales}
}
\value{
Returns the smoothed wavelet.
}
\description{
The time smoothing uses a filter given by the absolute value of the wavelet
function at each scale, normalized to have a total weight of unity, which is
a Gaussian function for the Morlet wavelet. The scale smoothing is done with
a boxcar function of width 0.6, which corresponds to the decorrelation scale
of the Morlet wavelet.
}
\note{
This function is used internally for computing wavelet coherence.
  It is only appropriate for the morlet wavelet.
}
\examples{
# Not run: smooth.wt1 <- smooth.wavelet(wave, dt, dj, scale)

}
\author{
Tarik C. Gouhier (tarik.gouhier@gmail.com)

Code based on WTC MATLAB package written by Aslak Grinsted.
}
\references{
Torrence, C., and P. J. Webster. 1998. The annual cycle of persistence in the
El Nino/Southern Oscillation.
\emph{Quarterly Journal of the Royal Meteorological Society} 124:1985-2004.
}