A class of novel blind source extraction algorithms based on a linear predictor

A rigorous analysis of the performance of a blind source extraction structure based on a linear predictor is provided. It is shown that by minimising the mean square prediction error, it is only possible to reach a solution subject to an arbitrary orthogonal transformation, in a manner similar to the principal component analysis. To remove this uncertainty, we propose a new cost function which caters for the ambiguous power levels of the source signals. A novel adaptive blind source extraction algorithm is derived and an alternative method with prewhitening is also introduced. Simulation results verify the proposed algorithms.

• Type: Conference
• Year: 2005
• Where: ISCAS
• Authors: Wei Liu, Danilo P. Mandic, Andrzej Cichocki
• Keywords: Arbitrary Orthogonal Transformation, Blind Source Extraction, ISCAS 2005, Source Extraction Structure