Curvelet transform and its application in seismic wave field separation

The multi-scale analysis can effectively describe the signal characteristics in different scales efficiently and is widely used in signal processing.Curvelet transform is characterized by optimum sparseness constraint condition that can deal with line-like phenomena in high dimension.Through analyzing the signal characteristic in Curvelet domain among different waves,we think they have significant difference in frequency,angle and position.So we can employ Curvelet transform to separate interference wave from effective wave.Examples of processing the model data and field data illustrate its feasibility and effectiveness in wave separation,it can provide superior interference wave attenuation with minimal impact on the desirable signal components,and its result has good fidelity.