# cwtsquiz

##### Squeezed Continuous Wavelet Transform

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

- Keywords
- ts

##### Usage

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

##### Arguments

- 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 \(\times\) nb scales), otherwise, the output is a 3D array (signal size \(\times\) noctave \(\times\) nvoice).

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

##### Details

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 \(\times\) nb scales),

3D array (signal size \(\times\) noctave \(\times\) nvoice).

##### Value

synchrosqueezed continuous (complex) wavelet transform

##### References

See discussions in the text of ``Practical Time-Frequency Analysis''.

##### See Also

*Documentation reproduced from package Rwave, version 2.4-8, License: GPL (>= 2)*