.BG
.FN cwt
.TL
Continuous Wavelet Transform
.DN
Computes the continuous wavelet transform with for the (complex-valued) 
Morlet wavelet.
.CS
cwt(input, noctave, nvoice=1, w0=2 * pi, twoD=TRUE, plot=TRUE)
.RA
.AG input
input signal (possibly complex-valued)
.AG noctave
number of powers of 2 for the scale variable
.OA
.AG nvoice
number of scales in each octave
(i.e. between two consecutive powers of 2).
.AG w0
central frequency of the wavelet.
.AG 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).
.AG plot
if set to T, display the modulus of the
continuous wavelet transform on the graphic device.
.RT
continuous (complex) wavelet transform
.SE
.DT
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) 
.SH REFERENCES
See discussions in the text of "Practical Time-Frequency Analysis".
.SA
"cwtp", "cwtTh", "DOG", "gabor".
.SH WARNING
Since Morlet's wavelet is not strictly speaking a wavelet (it is
not of vanishing integral), artifacts may occur for certain
signals.
.EX
