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en:projects:details:epc09 [2010/09/13 16:30]
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en:projects:details:epc09 [2016/06/23 11:26]
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- ---- dataentry project ---- 
-title :  Expectation Propagation Decoding ​   
-contactname:​ Masoud Alipour 
-contactmail_mail:​ masoud.alipour@epfl.ch 
-contacttel: 021 6937529 
-contactroom:​ BC 150 
-type : master semester ​ 
-status : available 
-created_dt : 2009-06-03 
-taken_dt :  ​ 
-completed_dt :  
-by :  
-output_media :  
-table : projects 
-====== 
-template:​datatemplates:​project 
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- 
-**Expectation Propagation** is a method for approximate inference in Graphical Models. The aim of this project is to treat the tanner graph of LDPC code as a graphical model and to use EP technique for decoding. The proportion of theoretical and empirical (programming,​ simulation) work in this project is 40-60 percent. 
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-Requirement:​ 
-  * Good familiarity with basic probability theory 
-  * Good programming skills in Matlab and/or C/C++ 
-What will you learn 
-  * LDPC codes 
-  * Learning and Inference in Graphical Models 
-  * Expectation Propagation 
-  * Fast implementation of approximate inference in graphical models 
-Suggested Readings and References ​ 
-  * [[http://​research.microsoft.com/​en-us/​um/​people/​minka/​papers/​ep/​|Thomas Minka'​s EP page]] 
-  * [[http://​videolectures.net/​abi07_walsh_cip/​|A Completed Information Projection Interpretation of Expectation Propagation]]