.BG
.FN DOG
.TL
Continuous Wavelet Transform with
derivative of Gaussian
.DN
Computes the continuous wavelet transform with for (complex-valued) 
derivative of Gaussian wavelets.
.CS
DOG(input, noctave, nvoice=1, moments, twoD=TRUE, plot=TRUE)
.RA
.AG input
input signal (possibly complex-valued).
.AG noctave
number of powers of 2 for the scale variable.
.AG moments
number of vanishing moments of the wavelet
(order of the derivative).
.OA
.AG nvoice
number of scales in each octave (i.e. between two
consecutive powers of 2)
.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
"cwt", "cwtp", "cwtsquiz", "cgt"
.EX
