synchrosqueezing-based transform and its application in seismic data analysis

seismic waves are non-stationary due to its propagation through the earth. time-frequency transformsare suitable tools for analyzing non-stationary seismic signals. spectral decomposition can reveal thenon-stationary characteristics which cannot be easily observed in the time or frequency representationalone. various types of spectral decomposition methods have been introduced by some researchers.conventional spectral decompositions have some restrictions such as heisenberg uncertainty principleand cross-terms which limit their applications in signal analysis. in this paper, synchrosqueezingbasedtransforms were used to overcome the mentioned restrictions; also, as an application of this newhigh resolution time-frequency analysis method, it was applied to random noise removal and thedetection of low-frequency shadows in seismic data. the efficiency of this method is evaluated byapplying it to both synthetic and real seismic data. the results show that the mentioned transform is aproper tool for seismic data processing and interpretation.