Description Usage Arguments Details Value References See Also Examples
Computes the continuous wavelet transform with for the (complex-valued) Morlet wavelet.
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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 |
if set to T, display the modulus of the continuous wavelet transform on the graphic device. |
The output contains the (complex) values of the 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)
Since Morlet's wavelet is not strictly speaking a wavelet (it is not of vanishing integral), artifacts may occur for certain signals.
continuous (complex) wavelet transform
See discussions in the text of “Practical Time-Frequency Analysis”.
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