Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection.
Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection. Scientists successfully addressed mathematical challenges in conventional Spectral Matrix analysis, used to analyze three-component seismic signals, by introducing time-delay components. The new technique enables the characterization of various polarized waves and the detection of seismic events that have previously gone unnoticed by conventional methods. These findings pave the way for improving a variety of applications, including earthquake detection.