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纠错码实验室

Error-Correcting Codes Laboratory
课程网址: https://ocw.mit.edu/courses/18-413-error-correcting-codes-laborat...  
主讲教师: Prof. Daniel Spielman
开课单位: 麻省理工学院
开课时间: 2004-01-01
课程语种: 英语
中文简介:
本课程向学生介绍迭代解码算法及其应用的代码,包括 Turbo 代码、低密度奇偶校验代码和串联代码。本课程将首先介绍编码理论的基本问题及其数学公式。接下来将对信念传播进行研究——这是迭代解码算法的基础概率启发式方法。然后,信念传播将应用于 Turbo、LDPC 和串行级联代码的解码。该课程的技术部分将以研究用于解释和预测迭代解码算法行为的工具结束,包括 EXIT 图和密度演变。
课程简介: 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. 
关 键 词: 迭代解码算法; 基本问题; 数学公式
课程来源: 麻省理工学院公开课
数据采集: 2024-06-25:chenjy
最后编审: 2024-06-25:chenjy
阅读次数: 6