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- 2Matrix rank reduction
- 2Seismic data reconstruction
- 1Convex optimization
- 1Gradient projection
- 1Least-squares migration
- 1Non-Gaussian noise
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Gradient projection methods with applications to simultaneous source seismic data processing
DownloadFall 2017
Simultaneous source acquisition, or blended acquisition, has become an important strategy to reduce the cost of seismic surveys by allowing overlapping between different sources. The major technical challenge associated with this acquisition design is the strong interferences caused by the...
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Fall 2013
An important step of seismic data processing entails signal de-noising. Traditional de-noising methods assume Gaussian noise model and their performance degrades in the presence of erratic (non-Gaussian) noise. This thesis examines the problem of designing reduced-rank noise attenuation...
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