.. _ahelp_3dWavelets:
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3dWavelets
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.. contents:: :local:

.. codeblock:: none
Program to perform wavelet analysis of an FMRI 3d+time dataset.
Usage:
3dWavelets
type wname wname = name of wavelet to use for the analysis
At present, there are only two choices for wname:
Haar > Haar wavelets
Daub > Daubechies wavelets
input fname fname = filename of 3d+time input dataset
[input1D dname] dname = filename of single (fMRI) .1D time series
[mask mname] mname = filename of 3d mask dataset
[nfirst fnum] fnum = number of first dataset image to use in
the wavelet analysis. (default = 0)
[nlast lnum] lnum = number of last dataset image to use in
the wavelet analysis. (default = last)
[fdisp fval] Write (to screen) results for those voxels
whose Fstatistic is >= fval
Filter options:
[filt_stop band mintr maxtr] Specify wavelet coefs. to set to zero
[filt_base band mintr maxtr] Specify wavelet coefs. for baseline model
[filt_sgnl band mintr maxtr] Specify wavelet coefs. for signal model
where band = frequency band
mintr = min. value for time window (in TR)
maxtr = max. value for time window (in TR)
Output options:
[datum DTYPE] Coerce the output data to be stored as type DTYPE,
which may be short or float. (default = short)
[coefts cprefix] cprefix = prefix of 3d+time output dataset which
will contain the forward wavelet transform
coefficients
[fitts fprefix] fprefix = prefix of 3d+time output dataset which
will contain the full model time series fit
to the input data
[sgnlts sprefix] sprefix = prefix of 3d+time output dataset which
will contain the signal model time series fit
to the input data
[errts eprefix] eprefix = prefix of 3d+time output dataset which
will contain the residual error time series
from the full model fit to the input data
The following options control the contents of the bucket dataset:
[fout] Flag to output the Fstatistics
[rout] Flag to output the R^2 statistics
[cout] Flag to output the full model wavelet coefficients
[vout] Flag to output the sample variance (MSE) map
[stat_first] Flag to specify that the full model statistics will
appear prior to the wavelet coefficients in the
bucket dataset output
[bucket bprefix] bprefix = prefix of AFNI 'bucket' dataset containing
parameters of interest, such as the Fstatistic
for significance of the wavelet signal model.
++ Compile date = Aug 21 2020 {AFNI_20.2.14:linux_ubuntu_16_64}