Multivariate phase space reconstruction by nearest neighbor embedding with different time delays

Abstract

A recently proposed nearest neighbor based selection of time delays for phase space reconstruction is extended to multivariate time series, with an iterative selection of variables and time delays. A case study of numerically generated solutions of the $x$- and $z$ coordinates of the Lorenz system, and an application to heart rate and respiration data, are used for illustration.