This special section covers present-day algorithms for seismic signal processing. In the last decade, important efforts were made in the development of signal processing methods that exploit the multidimensionality of seismic data. A stringent requirement for multidimensional seismic data processing is the elaboration of strategies to represent seismic data. This special section contains interesting examples of novel transformation for multidimensional seismic signal separation, seismic noise attenuation, and reconstruction. Examples are algorithms that use seislets, chirplets, local slant stacks, and apex shifted Radon transforms. In addition, this special section also offers results from a new family of algorithms that are inspired...
Introduction|October 23, 2015
Taking signal and noise to new dimensions — Introduction
Geophysics (2015) 80 (6): WDi-WDii.
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Laurent Duval, Sergey Fomel, Mostafa Naghizadeh, Mauricio Sacchi; Taking signal and noise to new dimensions — Introduction. Geophysics ; 80 (6): WDi–WDii. doi: https://doi.org/10.1190/2015-0921-SPSEINTRO.1
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