DSC 254. Statistical Signal and Image Analysis (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/DSC.html#dsc254
Description
A graduate level course on signal and image analysis spanning three main themes. Statistical signal processing: random processes, stochasticity, stationarity, Wiener filter, Kalman filter, matched filter; signal processing: time-frequency representations, wavelets, signal processing with sparse representation (dictionary learning); image processing: registration, image degradation and restoration: noise models + denoising, image pyramids, random fields. Prerequisites: DSC 210 or ECE 269 and DSC 212. Need to verify background in signal processing from undergraduate or other graduate courses. Restricted to DS75 and DS76 students.
Prerequisite courses
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Successor courses
No courses have DSC 254 as a prerequisite.