SSA-based approaches to analysis and forecast of multidimensional time series

Reconstruction and forecast of multidimensional signals in the presence of noise is considered. SSA-based methods (MSSA, CSSA) are applied. Comparison of approaches and investigation of their features are performed by means of statistical simulation.