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Analysing and Classifying Geomagnetic Activity Data in a Noisy Environment

Assessment of the actual geomagnetic activity level from local magnetometer monitoring is of impor- tance in earth sciences and exploration but also for different kinds of risk assessment with regard to electronics and electric power facilities. Wavelet based signal processing methods are applied to extract meaningful information from magnetic field time series in a noisy environment. Using a proper feature vector with a locally linear radial basis function net a local geomagnetic activity index can be derived under not ideal circumstances.