Analysing and Classifying Geomagnetic Activity Data in a Noisy Environment
نویسنده
چکیده
Assessment of the actual geomagnetic activity level from local magnetometer monitoring is of importance 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. Key–Words: geomagnetism, signal processing, wavelets, neuro fuzzy modelling
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Modelling Geomagnetic Activity Data
Strong geomagnetic activity is a hazard to electronics and electric power facilities. Assessment of the actual geomagnetic activity level from local magnetometer monitoring therefore is of importance for risk assessment but also in earth sciences and exploration. Wavelet based signal processing methods are applied to extract meaningful information from magnetic field time series in a noisy envi...
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