smooth.wavelet: Smooth wavelet in both the time and scale domains

In biwavelet: Conduct univariate and bivariate wavelet analyses

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.

Usage

smooth.wavelet (wave, dt, dj, scale)

Arguments

wave	wavelet coefficients
dt	size of time steps
dj	number of octaves per scale
scale	wavelet scales

Value

Returns the smoothed wavelet.

Note

This function is used internally for computing wavelet coherence. It is only appropriate for the morlet wavelet.

Author(s)

Tarik C. Gouhier ([e-mail])

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. Quarterly Journal of the Royal Meteorological Society 124:1985-2004.

Examples

## Not run: smooth.wt1=smooth.wavelet(wave, dt, dj, scale)

Example output

biwavelet 0.20.17 loaded.

biwavelet documentation built on May 2, 2019, 5:10 p.m.