SEISMIC DATA DENOISING WITH FAST GABOR REPRESENTATIONS
用Gabo:展开进行地震数据的滤波

Gabor representations are signal expansion using sets of functions that are localized and concentrated in time and frequency domain. This characteristic makes them be suitable for processing time-dependent or nonstationary signal. It is shown that Gabor representations formulated with frame theory can be used to remove noise from seismic data. The simulation shows that Gabor representations filtering techniques can outperform SVD eigenimage filtering techniques in the removal of noise.