Independent component analysis with application to behavior surveillance of large dams

Authors:
Theodor D. Popescu;Mariane Manolescu
Affiliations:
National Institute for R & D in Informatics, Research Department, Bucharest, Romania;National Institute for R & D in Informatics, Research Department, Bucharest, Romania
Venue:
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Year:
2008

Citing 4
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Abstract

Independent Component Analysis (ICA) is an emerging field of fundamental research with a wide range of applications such as remote sensing, data communications, speech processing and medical diagnosis. It is motivated by practical scenarios that involve multi-sources and multi-sensors. The key objective of ICA is to retrieve the source signals without resorting to any a priori information about the source signals and the transmission channel. ICA using second-order statistics and high-order statistics based techniques and the corresponding algorithms are presented to perform the blind separation of stationary or cyclostationary sources. In the last part of the paper, a case study with real data having as subject dams displacements monitoring will be presented.