Publisher review:Delay Vector Variance Method - The DVV method for characterisation of time series and signal nonlinearity detection. The Delay Vector Variance (DVV) method characterises a time series in a standardised way on the basis of its predictability in phase space, by means of a so-called `DVV-plot'. By itself, these DVV-plots can be used for time series clustering, as has been shown in Gautama et al., 2003a for EEG signals.
In the context of signal nonlinearity testing, it can be used in combination with the `surrogate data' method (e.g., Schreiber and Schmitz, 2000), namely by characterising the `original' time series and a number of `surrogates', and statistically testing whether they are different (Gautama et al., 2003b).
Delay Vector Variance Method is a Matlab script for Controls and Systems Modeling scripts design by Temu Gautama.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Delay Vector Variance Method - The DVV method for characterisation of time series and signal nonlinearity detection.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
Delay Vector Variance Method script details 
