Continuous Wavelet Transform Based on PCA and Its Application in Gravity Solid Tide Analysis
Hong Liang · Journal of Seismological Research · 2007
The correlation matrix of wavelet factors with various scales is built, and Principal Component Analysis method (PCA) is used to remove correlation among wavelet factors and extract primary frequency components in an origin signal. The method is proved to be valuable in signal analysis by its application to the given sample signal and the gravity solid tide signal.