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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 $

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