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Principal Component Analysis (PCA) is a main approach based on the second order statistics. It can remove the correlation between the signal components. PCA has been widely used in blind source separation and received attention because of its potential application in signal processing. PCA's principle algorithm, its simulation steps and its application in the earth gravity tide signal are introduced. The decomposition model can help us to analyze the geophysical information in signal. The result shows that PCA is a potential method in the earth gravity tide signal. So we can extract useful geophysical information from it to understand the interior structure of the earth and earthquake precursors.

Earth Gravity Tide Signal Decomposition Model Based on PCA and Geophysical Information Extraction