TY - JOUR
T1 - The extraction of instantaneous frequency from seismic data via synchrosqueezing three parameter wavelet transform
AU - Liu, Naihao
AU - Gao, Jinghuai
AU - Wang, Qian
N1 - Publisher Copyright:
© 2015 SEG.
PY - 2015
Y1 - 2015
N2 - Instantaneous frequency (IF) extracted by the Hilbert transform (HT) and continuous wavelet transform (CWT) is sensitive to noise and also suffers from meaningless values. We propose a robust method to extract instantaneous frequency from seismic data based on timefrequency analysis, which is called the synchrosqueezing three parameter wavelet transform (SSTPWT) using the three parameter wavelet (TPW). Compared with conventional instantaneous frequency extraction methods, the proposed method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data demonstrate the effectiveness of our method.
AB - Instantaneous frequency (IF) extracted by the Hilbert transform (HT) and continuous wavelet transform (CWT) is sensitive to noise and also suffers from meaningless values. We propose a robust method to extract instantaneous frequency from seismic data based on timefrequency analysis, which is called the synchrosqueezing three parameter wavelet transform (SSTPWT) using the three parameter wavelet (TPW). Compared with conventional instantaneous frequency extraction methods, the proposed method is proved to yield higher precision and better anti-noise performance. Experimental results on synthetic signals and real seismic data demonstrate the effectiveness of our method.
UR - https://www.scopus.com/pages/publications/85019003696
U2 - 10.1190/segam2015-5833787.1
DO - 10.1190/segam2015-5833787.1
M3 - 会议文章
AN - SCOPUS:85019003696
SN - 1052-3812
VL - 34
SP - 2801
EP - 2805
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
T2 - SEG New Orleans Annual Meeting, SEG 2015
Y2 - 18 October 2011 through 23 October 2011
ER -