input

number of powers of 2 for the scale variable.

noctave

number of vanishing moments of the wavelet
(order of the derivative).

moments

number of scales in each octave (i.e. between two
consecutive powers of 2)

nvoice

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)

twoD

if set to T, display the modulus of the
continuous wavelet transform on the graphic device

plot

Computes the continuous wavelet transform with for (complex-valued) 
derivative of Gaussian wavelets.

Rwave is a library of R functions which provide an
  environment for the Time-Frequency analysis of 1-D signals (and
  especially for the wavelet and Gabor transforms of noisy signals). 
  It was originally written for Splus by Rene Carmona, Bruno Torresani,
  and Wen L. Hwang, first at the University of California at Irvine and 
  then at Princeton University. Credit should also be given to Andrea 
  Wang whose functions on the dyadic wavelet transform are included.  
  Rwave is based on the book:
  "PRACTICAL TIME-FREQUENCY ANALYSIS: Gabor and Wavelet Transforms with
  an Implementation in S", by Rene Carmona, Wen L. Hwang and Bruno 
  Torresani, Academic Press (1998).

DOG: Continuous Wavelet Transform with derivative of Gaussian

Description

Usage

Arguments

Value

Details

References

See Also