4. Data Processing/Signal Processing
Time-frequency Decomposition using Matching Pursuit Algorithm
---- Theory and synthetic data tests ----
Cao Chai
Department of Earth Science and Engnieering,Imperial College London, UK.
Abstract
Time-frequency decomposition algorithms are useful to study frequency attributes of seismic signals. As a wavelet-based transformation, matching pursuit decomposition using Morlet wavelets and Ricker wavelets offers high-resolution decomposition results when seismic wavelets are close to atom wavelets. Modelled seismic traces composed by matched wavelets can be used for time-frequency analysis.
Last modified: Thu May 25 17:36:38 2006