Abstract: The present invention relates to a method and system for processing time-varying three-component signals to determine polarization dependent features therefrom. Relation data indicative of a predetermined expression relating ellipse elements describing an ellipse in three dimensional space to the components of the three-component signal are provided. Received signal data indicative of a three-component signal are processed for transforming each component of the three-component signal into time-frequency domain providing second signal data. Data indicative of polarization dependent features are then determined using the relation data and the second signal data. The method and system for processing time-varying three-component signals according to the invention are highly beneficial in numerous applications for evaluating three-component signal data such as seismology.

Abstract: The present invention relates to a method and system for processing multi-dimensional signal data to determine frequency dependent features therefrom. The multi-dimensional signal data are transformed into space-frequency or time-space-frequency domain, providing second signal data. At predetermined locations of at least a portion of the one of space and time-space of the second signal data a dominant feature corresponding to a largest value of the second signal data is determined. This is followed by the determination of a wave-vector corresponding to the dominant feature at each of the predetermined locations. Finally, a dip map, a frequency map, and an amplitude map are generated using the wave-vectors.

Abstract: The present invention relates to a method and system for processing time series signal data or image signal data indicative of a characteristic of an object. Received signal data are transformed into second signal data within a Stockwell domain based upon a sparse approximation of a S-transform of the signal data. The second signal data are then processed within the Stockwell domain to extract features therefrom. The processing includes determination of local spectra at predetermined locations; determination of voices at predetermined frequencies; and filtering of the signal data using a filter function in dependence upon frequency and time or space. The signal processing method and system according to the invention enables signal processing based on the S-transform using a desktop computer or workstation.