cwt.ts: Continuous Wavelet transformation of time series object

In Dasonk/SOWAS: Software for Wavelet Analysis and Synthesis

Description

This function calculates the continuous Wavelet transformation of a time series object using the Morlet Wavelet.

Usage

  cwt.ts(ts, s0, noctave = 5, nvoice = 10, w0 = 2 * pi)

Arguments

ts	time series object to be transformed
s0	lowest calculated scale in units of the time series
noctave	number of octaves
nvoice	number of voices per octave
w0	time/frequency resolution omega_0

Details

This function calls the function cwt of the Rwave package by Rene Carmona et al. and normalizes the resulting voices by sqrt(scale).

Value

A matrix containing the (in general complex) Wavelet coefficients of dimension [length(intersection of ts1 and ts2)]x[nvoice*noctave+1]

Author(s)

D. Maraun

References

D. Maraun and J. Kurths, Nonlin. Proc. Geophys. 11: 505-514, 2004

See Also

wsp, wcsp, wcoh

Examples

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Dasonk/SOWAS documentation built on May 6, 2019, 1:36 p.m.