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Next: Acknowledgments Up: Liu et al.: VD-seislet Previous: Discussion


We have introduced the VD-seislet transform, a new domain for analyzing prestack reflection data in CMP domain. The new transform is able to compress reflection data away from strong random noise. In this formulation, the normal moveout equation serves as a bridge between local slopes and scanned velocities that are not sensitive to strong random noise and aliasing. We also used the explicit relationship between slopes and velocities of primary and multiple events to extend VD-seislet transform to a VD-seislet frame. We have shown example applications of VD-seislet transform to signal and noise separation. Other traditional processing tasks such as data interpolation can be also easily defined in the VD-seislet domain.