# Optimization Videos

(Difference between revisions)
 Revision as of 16:43, 31 July 2008 (edit) (→Compressive Sampling, Compressed Sensing, University Minnesota)← Previous diff Revision as of 16:46, 31 July 2008 (edit) (undo) (→Compressive Sampling, Compressed Sensing, University Minnesota)Next diff → Line 13: Line 13: [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-6-07.ram June 6 2007] [http://www.ima.umn.edu/recordings/New_Directions_Short_Course/ND6.4-15.07/candes6-6-07.ram June 6 2007]  (If you only watch one Candes video, this is it.)  (If you only watch one Candes video, this is it.) - : Recovery of Dirac comb ([itex]\approx[/itex] 11 minutes into film). + : Recovery of Dirac comb, derivation of minimum sampling rate ([itex]\approx[/itex] 11 minutes into film). : 4:1 sample to sparsity rule ([itex]\approx[/itex] 21 minutes into film). : 4:1 sample to sparsity rule ([itex]\approx[/itex] 21 minutes into film). : [[Candes.m|Candes' Matlab code]] ([itex]\approx[/itex] 25 minutes in). : [[Candes.m|Candes' Matlab code]] ([itex]\approx[/itex] 25 minutes in).

## Convex Optimization, Stanford

Tutorials for a graduate level course, 2008

## Compressive Sampling, Compressed Sensing, University Minnesota

Emmanuel Candes   (requires RealPlayer to watch)

June 4 2007  Sparsity.

June 5 2007  Early work and researchers.

June 6 2007  (If you only watch one Candes video, this is it.)

Recovery of Dirac comb, derivation of minimum sampling rate ($LaTeX: \approx$ 11 minutes into film).
4:1 sample to sparsity rule ($LaTeX: \approx$ 21 minutes into film).
Candes' Matlab code ($LaTeX: \approx$ 25 minutes in).
Fundamental premises of Compressed Sensing:  sparsity  and  incoherence  ($LaTeX: \approx$ 29 minutes in).

## International Society for Magnetic Resonance in Medicine (ISMRM Toronto 2008)

Objective Comparison of Alternate Reconstruction Strategies: An Unmet Need  by Randy Duensing & Feng Huang.  (requires Adobe Flash Player)