Abstract: “The ability of the signal processing techniques to predict earthquakes may help to reduce the catastrophic effect of the earthquake. The earth\'s electric field signal is one of the features that can be used to predict the earthquakes (EQs) by analyzing the changes in its characteristic prior the earthquake. The signal is extracted using extended Linear Predictive Coding (LPC). This approach is based on the projection of the excitation signal on the right eigenvectors impulse response of the LPC filter. The resulting projected value is weighted by corresponding singular value, leading to an approximate sum of exponentially damped sinusoids (EDS). The extracted vector is used as input of the prediction system in order to determine the location of the incoming earthquake. Support vector machines (SVMs) method is applied as classification technique. The basic idea of SVMs is mapping non-linear training data into higher-dimensional feature space through the kernel function. This paper pres”

Keywords: Earthquake prediction, Earth Electric field signal, Extended Linear Prediction Coding (LPC), Support Vector Machine (SVM)