DSC 254Statistical Signal and Image Analysis
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.