7.1.97. 3dLocalSVDΒΆ

Link to classic view

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.

  • Computes the SVD of the time series from a neighborhood of each

    voxel. An inricate way of ‘smoothing’ 3D+time datasets, in some sense, maybe.

  • For most purposes, program 3dLocalPV does the same thing, but faster.

    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

Table Of Contents

This Page