Usage: 3dLocalSVD [options] inputdataset * You may want to use 3dDetrend before running this program,
or at least use the ‘-polort’ option.
This program is highly experimental. And slowish.
voxel. An inricate way of ‘smoothing’ 3D+time datasets, in some sense, maybe.
The only reason to use 3dLocalSVD is if you are using -vproj with the projection dimension ndim > 2.
Options:
-mask mset = restrict operations to this mask
-automask = create a mask from time series dataset
-prefix ppp = save SVD vector result into this new dataset
-input inputdataset = input time series dataset
-nbhd nnn = e.g., ‘SPHERE(5)’ ‘TOHD(7)’ etc.
-polort p [+] = detrending [‘+’ means to add trend back]
- -vnorm = normalize data vectors
- [strongly recommended]
- -vproj [ndim] = project central data time series onto local SVD subspace
- of dimension ‘ndim’ [default: just output principal singular vector] [for ‘smoothing’ purposes, ‘-vnorm -vproj 2’ is a good idea]
++ Compile date = Dec 16 2015
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