cwt.ts {sowas} | R Documentation |

## Continuous Wavelet transformation of time series object

### 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 omega0 |

### 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]

### Note

### Author(s)

D. Maraun

### References

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

### See Also

`wsp`

, `wcs`

, `wco`

### Examples

##

[Package

*sowas* version 0.93

Index]