Adaptive Window Deghosting (AWD) removes the source and receiver-side ghosts recorded in towed streamer configurations.  Ghost removal results in amplitude recovery at the notch frequencies, a broadening of the spectrum, and a general uplift in the ease of interpretation and other geophysical analyses.  AWD operates in tau-p space where like slowness traces share similar ghost properties.  It separates the tau-p space into user-defined space and time windows and searches for the optimal deghost operator in each window. Thus it is data driven and adaptive. This adaptive nature allows it to compensate for mild 3D effects and uncertainties in water velocity and streamer depth, which other 2D deghosting methods cannot handle correctly.

Zhang, Z. Wu, B. Wang & J. Ji, 2016, Adaptive Windowed Deghosting - Applications to FAZ Acquisition: 78th Conference and Exhibition, EAGE, Extended Abstracts.