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lyngby_baf2_main
(export/lyngby/lyngby_baf2_main.m)
Function Synopsis
[F, aic, Ub] = lyngby_baf2_main(X, R, arg1, arg2, arg3, arg4, ...
Help text
lyngby_baf2_main - Ardekani's F-test with nuisance estimation
function F = lyngby_baf2_main(X, R, ...
'PropertyName', 'PropertyValue')
Input: X The datamatrix
R The run structure
Property:
Components {8} Number of Fourier components
used in the test
MaxNuisanceDim {10} Maximal dimension of the
nuisance subspace
Output: F F-map
aic AIC for 0..MaxNuisanceDim models
Ub Nuisance sequences
The function performs an F-test on periodic data with the
period define by the run structure 'R'. A global subspace
orthogonal to the signal subspace is extracted from the
residual.
Ref: Ardekani BA, Kershaw J, Kashikura K, Kanno I. Activation
detection in functional MRI using subspace modeling and
maximum likelihood estimation. IEEE Trans Med Imaging
1999 Feb, 18(2):101-114
See also LYNGBY, LYNGBY_BAF_TEST, LYNGBY_BAT_TEST.
$Id: lyngby_baf2_main.m,v 1.5 2001/07/31 15:10:04 fnielsen Exp $
Cross-Reference Information
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