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comparison m-toolbox/classes/@tsdata/evenly.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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-1:000000000000 0:f0afece42f48
1 % EVENLY defines if the data is evenly sampled or not
2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3 %
4 % DESCRIPTION:
5 %
6 % CALL: evenly = evenly(data)
7 %
8 % INPUTS: tsdata - a tsdata object
9 %
10 % OUTPUTS: evenly - signals whether the data is regularly sampled or not
11 %
12 % VERSION: $Id: evenly.m,v 1.1 2010/04/30 14:56:30 nicolodi Exp $
13 %
14 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
15
16 function evenly = evenly(data)
17
18 % if the x vector has a null dimension ether the tsdata is empty or
19 % the x vector has been collapsed. in those cases the data is
20 % assumed to be evenly sampled
21 if isempty(data.x)
22 evenly = true;
23 return;
24 end
25
26 % otherwise we fall back to the fitfs method
27 [fs, t0, uneven] = tsdata.fitfs(data.x);
28 evenly = ~uneven;
29
30 end
31