Abstract
Time-frequency analysis can provide useful information in seismic data processing and interpretation. An accurate time-frequency representation is important in highlighting subtle geologic structures and in detecting anomalies associated with hydrocarbon reservoirs. The popular methods, like short-time Fourier transform and wavelet analysis, have limitations in dealing with fast varying instantaneous frequencies, which is often the characteristic of seismic data. The synchrosqueezing transform (SST) is a promising tool to provide a detailed time-frequency representation. We apply the SST to seismic data and show its potential to seismic signal processing applications.
| Original language | English |
|---|---|
| Article number | 6809966 |
| Pages (from-to) | 2042-2044 |
| Number of pages | 3 |
| Journal | IEEE Geoscience and Remote Sensing Letters |
| Volume | 11 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2014 |
Keywords
- Seismic data processing
- synchrosqueezing transform (SST)
- time-frequency representation