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Course Info

  • Course Number / Code:
  • 18.413 (Spring 2004) 
  • Course Title:
  • Error-Correcting Codes Laboratory 
  • Course Level:
  • Undergraduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Mathematics 
  • Course Instructor(s):
  • Prof. Daniel Spielman 
  • Course Introduction:
  •  


  • 18.413 Error-Correcting Codes Laboratory



    Spring 2004




    Course Highlights


    This course includes extensive lecture notes that summarize the topics discussed and analyzed in class, as well as projects sections.


    Course Description


    This course introduces students to iterative decoding algorithms and the codes to which they are applied, including Turbo Codes, Low-Density Parity-Check Codes, and Serially-Concatenated Codes. The course will begin with an introduction to the fundamental problems of Coding Theory and their mathematical formulations. This will be followed by a study of Belief Propagation--the probabilistic heuristic which underlies iterative decoding algorithms. Belief Propagation will then be applied to the decoding of Turbo, LDPC, and Serially-Concatenated codes. The technical portion of the course will conclude with a study of tools for explaining and predicting the behavior of iterative decoding algorithms, including EXIT charts and Density Evolution.
     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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