Course Material

Handouts

     Introduction

       SVD based regularization

       Probability

       Statistical Inference

       Expectation Maximization  basics (EM)

       Image Deconvolution

       X-ray Tomography

       Compressive Sensing

       Iterative Methods   

       Shrinkage Thresholding Iterative methods

Matlab Code

    Introduction (cameraman.tif, TFD_Error_1D.m, TFD_regularization_1D.m, TFD_regularization_2D.m, TV_regularization_1D.m)

      SVD (SVD.m, TSVD_regularization_1D.m, TSVD_error_1D.m, step_deconvolution.m, l2_l1_sparse_regression.m)

      EM for Mixtures of 1D Gaussians

       Tomography

       Optimization

       TwIST demos

Homeworks

Homework 1 (band_limited_signal.m)

Homework 2

Last modification: 6-03-2008

Instituto Superior Técnico - Departamento de Engenharia Electrotécnica e de Computadores
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