About the delay in crp toolbox

 Junior
 Posts: 1
 Joined: Thu Jan 12, 2012 16:46
 Affiliation (Univ., Inst., Dept.): Indian Institute of Science
 Location: Bangalora,india
 Research field: biomedical signal processing
About the delay in crp toolbox
what to do if the delay is smaller than 1? how can we get a recurrence plot of time series with embedding delay less than 1?
 Norbert
 Expert
 Posts: 183
 Joined: Wed Jan 4, 2006 11:03
 Affiliation (Univ., Inst., Dept.): Potsdam Institute for Climate Impact Research, Germany
 Location: Potsdam, Germany
 Location: Potsdam Institute for Climate Impact Research, Germany
Re: About the delay in crp toolbox
Hello,
it seems that there is misunderstanding. As your data is discretised (because it is measurement), your time series consists of N data values, each can be indexed by natural number i. Now the delay is just the natural number of steps between two of your values, say i+tau. Tau cannot be smaller than 1. I suppose you would like to use the delay in terms of a measured real time t, what means it could be real number instead of natural number. But this can be used by simply dividing your real valued delay by the sampling time delta_t (where delta_t can be real number). Here is the relation between the time and the index in the discrete time series: t = delta_t * i.
Best regards
Norbert
it seems that there is misunderstanding. As your data is discretised (because it is measurement), your time series consists of N data values, each can be indexed by natural number i. Now the delay is just the natural number of steps between two of your values, say i+tau. Tau cannot be smaller than 1. I suppose you would like to use the delay in terms of a measured real time t, what means it could be real number instead of natural number. But this can be used by simply dividing your real valued delay by the sampling time delta_t (where delta_t can be real number). Here is the relation between the time and the index in the discrete time series: t = delta_t * i.
Best regards
Norbert