printer friendly pageMATH 221B: Mathematical Methods of Imaging
This is a project based course where the first half is an introduction to imaging: coherent and incoherent, passive and active, migration, time-reversal and optimization-based imaging, with applications to ultrasound, radar, sonar and seismic imaging. The projects come from a close study of recent papers that use neural networks for imaging when large data sets are available and some special applications such as satellite imaging.
Terms: Spr
| Units: 3
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