either a text file or an Robject containing data.

inputdata

maxresoln

name of filter (either Gaussian1 for Mallat and Zhong's wavelet or
Haar wavelet).

filtername

when set, the wavelet transform at each scale is plotted 
with the same scale.

scale

indicate if the wavelet transform at each
scale will be plotted.

plot

Dyadic wavelet transform, with Mallat's wavelet.
The reconstructed signal preserves locations and values at extrema.

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).

mw: Dyadic Wavelet Transform

Description

Usage

Arguments

Value

Details

References

See Also