Course Material

Handouts

Introduction

SVD based regularization

Probability

Statistical Inference

Expectation Maximization  basics (EM)

Wavelet-based Image Deconvolution

Image Deconvolution

X-ray Tomography

Compressive Sensing

Iterative Methods 

Shrinkage Thresholding Iterative methods

       Proximal Splitting 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

Homework 2

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Last modification: 6-03-2008

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