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Algebraic and Computational Methods for Error-Correction

Algebraic and Computational Methods for Error-Correction
纠错的代数和计算方法
批准号:
0514915
负责人:
Madhu Sudan
金额:
$32.91万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-15 至 2008-06-30

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中文摘要
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英文摘要
Algebraic and computational methods for error-correctionMadhu Sudan (MIT)Errors are inescapable when storing information (such as on CDs or DVDs) or communicating information (through cellular phones or cable modems). Coping with errors, and devising methods to detect and automatically correct errors, is one of the persistent challenges to the theory of information. This project investigates a collection of fundamental problems in this theory. The problems are unified by their goals as well as methods under consideration. The central goal is to improve the efficiency of communication and of the associated computational tasks for very general error models. The methods to be investigated include algebraic techniques over finite fields, and techniquesfrom the theory of computer science.Algebraic methods have long contributed to the foundations of error-correcting codes. The principal examples are the Reed-Solomon codes and their decoding algorithms which have paved the way for much of the reliability of digital storage media. All CDs and DVDs are encoded with Reed-Solomon codes, and CD- and DVD-players come equipped with error-correcting algorithms for these codes. Recent research, including some previous work of the PI, has shown that the algebraic methods can be pushed even further to correct more error, and deal with a further diversity of reliability information when dealing with erroneous channels. Yet some fundamental questions remain unanswered, even about Reed-Solomon codes. A simple question is: What is the fraction of random error that can be corrected in Reed-Solomon codes, with efficient algorithms? This, and other such fundamental questions about algebraic codes, are investigated in this project. The project also investigates the applicability of new techniques developed in theoretical computer science in the context of some classical challenges in coding theory.
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AF: Small: Streaming Complexity of Constraint Satisfaction Problems
  • 批准号:
    2152413
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2022
  • 负责人:
    Madhu Sudan
  • 依托单位:
Women in Theory Workshop 2018
  • 批准号:
    1830899
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2018
  • 负责人:
    Madhu Sudan
  • 依托单位:
AF: Small: Communication Amid Uncertainty
  • 批准号:
    1715187
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2017
  • 负责人:
    Madhu Sudan
  • 依托单位:
Special Year Workshops on Combinatorics and Complexity
  • 批准号:
    1742283
  • 项目类别:
    Standard Grant
  • 资助金额:
    $9.6万
  • 财政年份:
    2017
  • 负责人:
    Madhu Sudan
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data