We present a new method for detecting a low-dimensional deterministic chara
cter of very short discrete time series. The algorithm depends on two param
eters, that can be selected according to a simple criterion. Experiments sh
ow that the method is sensitive to noise levels as low as 2%. In addition,
our technique allows us to estimate the value of the largest Lyapunov expon
ent.