|CRP Toolbox Reference|
PurposeReconstruct a time series from a recurrence plot.
y=recons(x) reconstructs a time series y from the recurrence plot in the matrix x.
y=recons(x,...,method) specifies the reconstruction method
y=recons(x,...,name) reconstructs the time series using the named cumulative distribution function, which can be 'norm' or 'Normal' (defeault), 'unif' or 'Uniform'. This is only necessary for the method by Thiel. The reconstruction from the Hirata will not be scaled.
y=recons(x,p,...) reconstructs the time series using the cumulative distribution function given by vector P (should be 2nd argument). This is only necessary for the method by Thiel. The reconstruction from the Hirata will not be scaled.
Thiel, M., Romano, M. C., Kurths, J.: How much information is contained in a recurrence plot?, Phys. Lett. A, 330, 2004.
Hirata, Y., Horai, S., Aihara, K.: Reproduction of distance matrices from recurrence plots and its applications, Eur. Phys. J. ST, 164, 2008.
See Alsocrp, crp2, jrp