View source: R/Cwt_Squeezing.R

cwtsquiz | R Documentation |

Computes the synchrosqueezed continuous wavelet transform with the (complex-valued) Morlet wavelet.

cwtsquiz(input, noctave, nvoice=1, w0=2 * pi, twoD=TRUE, plot=TRUE)

`input` |
input signal (possibly complex-valued) |

`noctave` |
number of powers of 2 for the scale variable |

`nvoice` |
number of scales in each octave (i.e. between two consecutive powers of 2). |

`w0` |
central frequency of the wavelet. |

`twoD` |
logical variable set to T to organize the output as a 2D array
(signal size |

`plot` |
logical variable set to T to T to display the modulus of the squeezed wavelet transform on the graphic device. |

The output contains the (complex) values of the squeezed wavelet transform of the input signal. The format of the output can be

2D array (signal size *x* nb scales),

3D array (signal size *x* noctave *x* nvoice).

synchrosqueezed continuous (complex) wavelet transform

See discussions in the text of “Practical Time-Frequency Analysis”.

`cwt`

, `cwtp`

, `DOG`

,
`cgt`

.

Rwave documentation built on Oct. 22, 2022, 1:05 a.m.

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