SEGJ Technical Conference


Investigation on wave-form separation by Indepedent Component Analysis(1) -Cocktail-party effect for synthetic waveforms mixed earthquake ground motion and railway-induced ground vibration-


Abstract
Since 1980s, Independent Component Analysis (ICA) has been studied and developed as the new method for multidimensional signal processing in many fields. The ability to detect certain sound among plural sounds is called the Cocktail-party effect, which is well known as the issue for blind signal separation in acoustics. ICA has been applied to the separation for sounds/biomedical signals and the image processing in the engineering. However, ICA has not been applied in fields of exploration geophysics and seismology. In this study, we applied ICA to synthetic waveforms mixed earthquake ground motion and railway-induced ground motion spatially without time lag under the condition of BSS, to separate the original signals from those synthetic waveforms.