Reduced Complexity Regularization of Geophysical Inverse Problems.

Ely, Gregory.
2017-04-24T15:09:48.431Z

Abstract: This thesis explores the application of complexity penalized algorithms to solve a variety of geophysical inverse problems: Hydraulic Fracture Monitoring (HFM), hyper-spectral imaging, and reflection seismology. Through these examples, the thesis examines how the physics of several systems gives rise to sparsity or low-dimensionality when posed in the proper basis. This low complexity ca... read more

Subjects
Tufts University. Department of Electrical and Computer Engineering.
Permanent URL
http://hdl.handle.net/10427/012158
ID: tufts:21896
To Cite: DCA Citation Guide