R: Squeezed Continuous Wavelet Transform

cwtsquiz {Rwave} | R Documentation

## Squeezed Continuous Wavelet Transform

### Description

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

### 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 x nb scales), otherwise, the output is a 3D array (signal size x noctave x 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 x nb scales),

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

### Value

synchrosqueezed continuous (complex) wavelet transform

### References

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

### See Also

`cwt`, `cwtp`, `DOG`, `cgt`.

[Package Rwave version 2.6-0 Index]