TY - GEN
T1 - A computer system for signals modelling and prediction
AU - Bielinska, Ewa
AU - Malinski, Łukasz
PY - 2009
Y1 - 2009
N2 - The paper is concerned with a computer system for signal analysis, identification, and prediction. The system offers a possibility of signal modeling with the use of Box-Jenkins methodology, neural networks, bilinear and hybrid linear-bilinear models. The system makes possible signal forecasting on the basis of linear, neural, bilinear and hybrid linear-bilinear predictors. The aim of the paper is to present the system as well as the results obtained for signals coming from biological, economic, and technical processes.
AB - The paper is concerned with a computer system for signal analysis, identification, and prediction. The system offers a possibility of signal modeling with the use of Box-Jenkins methodology, neural networks, bilinear and hybrid linear-bilinear models. The system makes possible signal forecasting on the basis of linear, neural, bilinear and hybrid linear-bilinear predictors. The aim of the paper is to present the system as well as the results obtained for signals coming from biological, economic, and technical processes.
UR - https://www.scopus.com/pages/publications/80051594605
U2 - 10.3182/20090819-3-pl-3002.00069
DO - 10.3182/20090819-3-pl-3002.00069
M3 - Conference contribution
AN - SCOPUS:80051594605
SN - 9783902661555
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 396
EP - 401
BT - 14th International Conference on Methods and Models in Automation and Robotics, MMAR'09 - Proceedings
PB - IFAC Secretariat
ER -