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# lyngby_design_events2design

## (export/lyngby/lyngby_design_events2design.m)

### Function Synopsis

x = lyngby_design_events2design(e, TR, L, varargin)

### Help text

lyngby_design_events2design - Convert events to design matrix column
function x = lyngby_design_events2design(e, TR, L, ...
'PropertyName', 'PropertyValue')
Input: e Events (in seconds)
TR Sampling time (in seconds)
L Length (number of scans)
Property:
Decimation [ {FourierZero} |
FirstOrderInterpolation ] Type of
decimation
Oversampling {100*TR} Number of oversampling
compared to TR. Default is TR*10 that
corresponds to 10ms
Output: x Vector corresponding to decimated paradigm
This function will take a set of events denoted by the time of
occurence in eg. seconds are convert them to a vector that is
suitable as a design variable or "paradigm" input to a filter.
The first element in x, ie. x(1), corresponds to zero
seconds. The second element x(2) to the time at TR. x is length L.
The input 'e' should be a column vector or a matrix with size
Nx2. If 'e' is a vector then the times in 'e' is taken as
"Dirac"-events and if 'e' is a matrix then the first column
should describe on-times while the second column should
describe off-times.
Example:
e = [ 20 31.56 45.20 52.4 70.1 ]';
x = lyngby_design_events2design(e, 2, 50)
plot(0:2:98, x, '-x')
See also LYNGBY.
$Id: lyngby_design_events2design.m,v 1.4 2002/05/19 22:25:30 fnielsen Exp $

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