TY - JOUR
T1 - Time-frequency analysis of seismic data using synchrosqueezing transform
AU - Wang, Ping
AU - Gao, Jinghuai
AU - Wang, Zhiguo
PY - 2014/12
Y1 - 2014/12
N2 - 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.
AB - 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.
KW - Seismic data processing
KW - synchrosqueezing transform (SST)
KW - time-frequency representation
UR - https://www.scopus.com/pages/publications/84903515894
U2 - 10.1109/LGRS.2014.2317578
DO - 10.1109/LGRS.2014.2317578
M3 - 文章
AN - SCOPUS:84903515894
SN - 1545-598X
VL - 11
SP - 2042
EP - 2044
JO - IEEE Geoscience and Remote Sensing Letters
JF - IEEE Geoscience and Remote Sensing Letters
IS - 12
M1 - 6809966
ER -