Usage: 3dTsmooth [options] dataset
Smooths each voxel time series in a 3D+time dataset and produces
as output a new 3D+time dataset (e.g., lowpass filter in time).
*** Also see program 3dBandpass ***
General Options:
-prefix ppp = Sets the prefix of the output dataset to be 'ppp'.
[default = 'smooth']
-datum type = Coerce output dataset to be stored as the given type.
[default = input data type]
Three Point Filtering Options [07 July 1999]
--------------------------------------------
The following options define the smoothing filter to be used.
All these filters use 3 input points to compute one output point:
Let a = input value before the current point
b = input value at the current point
c = input value after the current point
[at the left end, a=b; at the right end, c=b]
-lin = 3 point linear filter: 0.15*a + 0.70*b + 0.15*c
[This is the default smoother]
-med = 3 point median filter: median(a,b,c)
-osf = 3 point order statistics filter:
0.15*min(a,b,c) + 0.70*median(a,b,c) + 0.15*max(a,b,c)
-3lin m = 3 point linear filter: 0.5*(1-m)*a + m*b + 0.5*(1-m)*c
Here, 'm' is a number strictly between 0 and 1.
General Linear Filtering Options [03 Mar 2001]
----------------------------------------------
-hamming N = Use N point Hamming or Blackman windows.
-blackman N (N must be odd and bigger than 1.)
-custom coeff_filename.1D (odd # of coefficients must be in a
single column in ASCII file)
(-custom added Jan 2003)
WARNING: If you use long filters, you do NOT want to include the
large early images in the program. Do something like
3dTsmooth -hamming 13 'fred+orig[4..$]'
to eliminate the first 4 images (say).
The following options determine how the general filters treat
time points before the beginning and after the end:
-EXTEND = BEFORE: use the first value; AFTER: use the last value
-ZERO = BEFORE and AFTER: use zero
-TREND = compute a linear trend, and extrapolate BEFORE and AFTER
The default is -EXTEND. These options do NOT affect the operation
of the 3 point filters described above, which always use -EXTEND.
Adaptive Mean Filtering option [03 Oct 2014]
--------------------------------------------
-adaptive N = use adaptive mean filtering of width N
(where N must be odd and bigger than 3).
* This filter is similar to the 'AdptMean9'
1D filter in the AFNI GUI, except that the
end points are treated differently.
INPUT DATASET NAMES
-------------------
This program accepts datasets that are modified on input according to the
following schemes:
'r1+orig[3..5]' {sub-brick selector}
'r1+orig<100..200>' {sub-range selector}
'r1+orig[3..5]<100..200>' {both selectors}
'3dcalc( -a r1+orig -b r2+orig -expr 0.5*(a+b) )' {calculation}
For the gruesome details, see the output of 'afni -help'.
++ Compile date = Dec 17 2024 {AFNI_24.3.10:linux_ubuntu_24_64}
