Seismic signal time frequency peak value filtering method based on Born-Jordan time frequency distribution

• Main Authors: YUAN CHENGBO, LIU YUHAN, HE YANMIN, LI XINYAN, SANG XIANGXIN, PENG ZHENMING, LI DAN
• Format: Patent
• Language: Chinese; English
• Published: 22.06.2016
• Subjects: DETECTING MASSES OR OBJECTS; GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; MEASURING; PHYSICS; TESTING

The invention provides a time frequency peak value filtering algorithm based on Born-Jordan time frequency distribution aiming at increasing the linearity of seismic signals in time windows, suppressing noise at a greater degree, and increasing the precision of signal reconstruction and signal to noise ratio of seismic data after filtering. The method comprises following steps: first, inputting a noise-containing original seismic profile to be processed; performing amplitude standardization process to each seismic record of the noise-containing profile; coding each seismic record after standardization process as instantaneous frequency of a unit amplitude analytic signal to obtain analytic signals to be processed; performing Born-Jordan time frequency analysis to the analytic signals to obtain a time frequency distribution; finding the frequency of an analytic signal corresponding to the peak value of the time frequency distribution in the frequency direction on the time frequency distribution, and performing