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 |
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”.