HR: 1340h
AN: S33A-0291    [Abstracts]
TI: A New Inverse S-Transform for Filters With Time-Frequency Localization
AU: Gallart, J
EM: jgallart@ija.csic.es
AF: Institute of Earth Sciences Jaume Almera - CSIC, Lluis Sole i Sabaris, S/N, Barcelona, 08028 Spain
AU: * Schimmel, M
EM: schimmel@ija.csic.es
AF: Institute of Earth Sciences Jaume Almera - CSIC, Lluis Sole i Sabaris, S/N, Barcelona, 08028 Spain
AB: The S-Transform provides a framework for data-adaptive filters which take advantage of time-frequency localized spectra. These filters basically consist in a data transformation to the time-frequency domain, the data-adaptive weighting of the localized spectra, and a back transformation. The data-adaptive weighting of the spectral components is due to a measure (e.g., coherence, polarization, energy) which separates to some extend signals from noise. We illustrate that the inverse S-Transform of manipulated spectra not necessarily transforms the localized signals as expected from the imposed weighting. The time localization is not directly translated and spurious signals and noise can be generated. We discuss this problem and suggest a new inverse S-Transform which may come helpful to many applications to take more advantage of the time-frequency localization of seismic signals. This is shown to be relevant when the data processing involves a manipulation of the S-spectrum for seismic signal extraction or noise attenuation.
DE: 0540 Image processing
DE: 3255 Spectral analysis (3205, 3280)
DE: 3270 Time series analysis (1872, 4277, 4475)
DE: 7200 SEISMOLOGY
SC: Seismology [S]
MN: Fall Meeting 2005