Work

Constrained Randomization of Time Series Data

Year: 1998
Type: article
Abstract: A new method is introduced to create artificial time sequences that fulfil given constraints but are random otherwise. Constraints are usually derived from a measured signal for which surrogate data are to be generated. They are fulfilled by minimizing a suitable cost function using simulated annealing. A wide variety of structures can be imposed on the surrogate series, including multivariate, nonlinear, and nonstationary properties. When the linear correlation structure is to be preserved, the new approach avoids certain artifacts generated by Fourier-based randomization schemes.
Language: English
Open Access status: green
OpenAlex ID: W2051570650
FWCI: 33.35
Cites: 7
Cited by: 174
Related to: 10