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courses:sp14:e9-203:projects [2014/02/19 04:16]
cmurthy
courses:sp14:e9-203:projects [2014/06/08 02:04] (current)
cmurthy [Packages]
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   * Please use {{:template_for_project_reports.zip|this}} style file for writing your reports.    * Please use {{:template_for_project_reports.zip|this}} style file for writing your reports. 
   * Initial project presentation (18 mins per group, 3 mins for questions and changing between speakers): Mar. 19th and 21st, 2014. For your presentation:   * Initial project presentation (18 mins per group, 3 mins for questions and changing between speakers): Mar. 19th and 21st, 2014. For your presentation:
-     - First slide: Title of your project (paper), along with its complete reference, and your name, department, and email address.+     - **First slide:** Title of your project (paper), along with its complete reference, and your name, department, and email address.
      - Briefly discuss the package that you are championing      - Briefly discuss the package that you are championing
 +        * **Show the solution to HW1 using your package**
      - Present the main algorithm that the package uses. In your opinion, what is are the strengths/weaknesses of this approach?      - Present the main algorithm that the package uses. In your opinion, what is are the strengths/weaknesses of this approach?
      - Make a proposal on what you will show in the final presentation and report      - Make a proposal on what you will show in the final presentation and report
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      - Mar. 19th, 2014: TBD.      - Mar. 19th, 2014: TBD.
      - Mar. 21st, 2014: TBD.      - Mar. 21st, 2014: TBD.
-  * Final project presentation and report: you must aim to answer questions like: +  * Final project presentation and report: you must aim to answer questions like (the more important ones are in **bold**)
-     - Class of problems the package can solve +     - **Classes of problems the package can solve** 
-     - Numerical stability and robustness +     - **Ability to handle noisy measurements, non-sparse signals** 
-     - Ability to handle noisy measurements, non-sparse signals +     - **Precise details of the algorithms implemented in the package** 
-     - Phase transition diagrams+     - **How to set the values of run-time parameters of the algorithm, if any?**
      - Recovery guarantees for the algorithm (theoretical guarantees that can be given)      - Recovery guarantees for the algorithm (theoretical guarantees that can be given)
-     - Precise details of the algorithm +     - **Phase transition diagrams** 
-     - Complexity study, and comparison with the other package +     - **A detailed comparative report on the two software packages** 
-     - Real-time implementability (can it be parallelized?) +     - Complexity, numerical stability, and robustness 
-     - How to set the values of run-time parameters of the algorithm, if any? +     - Real-time implementability (e.g., can it be parallelized?)
-     - A detailed comparative report on the two software packages+
  
 ---- ----
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 =====Packages===== =====Packages=====
  
-  - CoSAMP/ROMP +  - [[http://www.mathworks.in/matlabcentral/fileexchange/32402-cosamp-and-omp-for-sparse-recovery|Stephen Becker's CoSAMP and OMP code]], [[http://arxiv.org/abs/0803.2392|paper]] **Shubhanshu Shekhar -2** 
-  CVX +  - [[http://dsp.ucsd.edu/~jfmurray/software.htm|FOCUSS]], [[http://bisp.kaist.ac.kr/ktFOCUSS.htm|k-t FOCUSS]], [[http://dsp.ucsd.edu/~zhilin/Software.html|tM FOCUSS]] 
-  - FOCUSS +  - [[http://sourceforge.net/projects/gampmatlab/|GAMP]] 
-  - GAMP +  - [[http://stanford.edu/~boyd/l1_ls/|L1-LS]], [[https://www.stanford.edu/~boyd/l1_ls/l1_ls_usrguide.pdf|user's guide]] 
-  - L1-LS +  - [[http://users.ece.gatech.edu/~justin/l1magic/|l1 magic]] **Vikas Kumar Dewangan -- 2** 
-  - l1magic +  - [[http://www.lx.it.pt/~mtf/SpaRSA/|SpaRSA]] **Srikanth Raj -- 2** 
-  - SpaRSA +  - [[http://yall1.blogs.rice.edu/|Yall1]], [[http://www.caam.rice.edu/~zhang/reports/tr0917.pdf|user's guide]] 
-  - Yall1 +  - [[https://sites.google.com/site/researchbyzhang/software|Zhilin_MSBL]] **Vidhyadhar Upadhya -- 1** 
-  - Zhilin_MSBL +  - [[http://www.miketipping.com/sparsebayes.htm|Sparse Bayesian Learning]], see also [[http://dsp.ucsd.edu/~dwipf/sparse_learning.m|David Wipf's code]] **Vidhyadhar Upadhya -- 1** 
-  - SB2 +  - [[http://users.ece.gatech.edu/~sasif/homotopy/|L1-homotopy algorithms]] 
- +  - [[http://www.cs.ubc.ca/~mpf/spgl1/|SPG L1]] 
-I will provide links for each of these packages later.+  - [[http://statweb.stanford.edu/~candes/nesta/|NESTA]] **Shubhanshu Shekhar -- 1** 
 +  - [[http://www.caam.rice.edu/~optimization/L1/FPC_AS/|FPC AS]] 
 +  - [[http://statweb.stanford.edu/~wavelab/|WaveLab]] **Vikas Kumar Dewangan -- 1** 
 +  - [[http://www.lx.it.pt/~mtf/GPSR/|GPSR]] **Srikanth Raj -- 1** 
 +  - [[http://spams-devel.gforge.inria.fr/|SPAMS]]  
 +  - [[http://www.mathworks.in/matlabcentral/fileexchange/32402-cosamp-and-omp-for-sparse-recovery|Stephen Becker's CoSAMP and OMP code]] 
 +  - [[http://www.cs.ubc.ca/labs/scl/sparco/|SPARCO]] 
 +  - [[http://sparselab.stanford.edu/|SparseLab]] 
 +  - [[http://www.public.asu.edu/~jye02/Software/SLEP/|SLEP]]
  
 +Please email me if you find any other package that ought to be included.

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