PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability.
Aleksander Ilin, Harri Valpola and Erkki Oja
In: IJCNN 2005, 31 July - 04 Aug 2005, Montreal.

Abstract

A new blind source separation method called Denoising Source Separation (DSS) is used to analyze slow variations of global atmospheric data

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:1806
Deposited By:Erkki Oja
Deposited On:28 November 2005