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# lyngby_normalize

## (export/lyngby/lyngby_normalize.m)

### Function Synopsis

[XN, meanImage, stdImage, meanSeq,stdSeq] = ...

### Help text

lyngby_normalize - Normalize (Preprocess) a datamatrix
function [XN, meanImage, stdImage, meanSeq, stdSeq] =
lyngby_normalize(X, PropertyName, PropertyValue);
Input: X Datamatrix.
Property: Centering [ 0 | {1} ] Extract the sequence
mean. This will give a mean image
RunCentering [ {0} | 1 ] Extract the mean within
each run
Run Run specification
ImageCentering [ {0} | 1 ] Extract the image
mean. This will give the mean sequence
Normalization [ {0} | 1 ] Divide by the standard
deviation
Output: XN Output matrix
meanImage Mean values in each voxel
stdImage Standard deviation in each voxel
meanSeq Mean sequence
stdSeq Standard deviation in each image
The function performs centering (extract the mean) for a
datamatrix. This can either be done on the whole data set
('Centering') or for each run separately ('RunCentering').
The mean of each image can also be extracted with
'ImageCentering'.
The data can be adjusted to common range by dividing by the
standard deviation. The standard diviation (stdImage and
stdSeq) is computed by normalizing with N rather than N-1.
See also: LYNGBY, LYNGBY_UI_PREPROC_NORMALIZE.
$Id: lyngby_normalize.m,v 1.24 2002/04/22 09:54:32 fnielsen Exp $

### Cross-Reference Information

This function calls
This function is called by

Produced by mat2html on Wed Jul 29 15:43:40 2009

Cross-Directory links are: OFF