cwtsquiz: Squeezed Continuous Wavelet Transform

In Rwave: Time-Frequency Analysis of 1-D Signals

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.

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