Title :
Local prediction of chaotic time series
Author :
Giona, M. ; Cimagalli, V. ; Morgavi, G. ; Perrone, A.
Author_Institution :
Rome Univ., Italy
Abstract :
Consideration is given to two different methods for chaotic signal local forecasting: a local interpolation and functional reconstruction. A brief review is presented of the mathematical framework on nonstatistical forecasting. An outline of some main techniques for chaotic signal characterization is furnished
Keywords :
chaos; nonlinear systems; chaotic signal characterization; chaotic signal local forecasting; chaotic time series; functional reconstruction; local interpolation; mathematical framework; nonstatistical forecasting; Chaos; Image reconstruction; Interpolation; Microwave integrated circuits; Prediction methods; Signal processing; Statistical analysis; Stochastic processes; Stochastic systems; Time factors;
Conference_Titel :
Circuits and Systems, 1990., Proceedings of the 33rd Midwest Symposium on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-0081-5
DOI :
10.1109/MWSCAS.1990.140865
