CAREER: Error-Correcting Codes --- List Decoding and Related Algorithmic Challenges
CAREER: Error-Correcting Codes --- List Decoding and Related Algorithmic Challenges
批准号:
0343672
负责人:
Venkatesan Guruswami
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2010-04-30
中文摘要
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英文摘要
Project abstract:This project involves an integrated collection of research andeducational activities focused on the theory of error-correctingcodes. Error-correcting codes are combinatorial objects used for thepurpose of reliable communication of information over a noisychannel. The project focuses on the asymptotic and algorithmic aspectsof coding theory, and in particular aims to construct explicitfamilies of codes that achieve good trade-offs together with efficientalgorithms for encoding and decoding them. The channel noise istypically modeled adversarially (as opposed to being generated by someprobability distribution), as this will yield codes and algorithmswith the strongest possible error-resilience guarantees.The central technical notion that will be explored is that of "listdecoding". Under list decoding, the decoder is supposed to output allmessages whose encodings are within a certain distance of the receivedword. Thus one relaxes the requirement that the decoder's answeralways be unique. This relaxation is necessary to meaningfully posethe question of decoding beyond the ``traditional'' half-the-distancebound, and at the same time even when constrained to output a smalllist, ends up permitting decoding well beyond half-the-distance of acode. List decoding is itself an old notion (first defined in the late50's) but it was only recently that efficient list decodingalgorithms were discovered for useful families of codes. Consequently,though much progress has been made in the last few years, listdecoding is a subject still in its infancy in terms of its truepotential. In particular, the high level conceptual motivation forlist decoding is that it will enable communication at rates close tothe channel's ``capacity'' even when the noise is adversarial (insteadof obeying an assumed probabilistic model). The codes needed for sucha result are, however, not explicitly known currently. One of thecentral goals of this project is to make progress towards theconstruction of such codes and the associated list decodingalgorithms.BROAD IMPACTS: The project will attempt to provide new tools andtechniques for the study of codes that involve a rare interplaybetween algebra, combinatorics, and probability. It will try toenhance our understanding of the fundamental limits of noiselesscommunication possible on various noisy channels, as well as push therate of usage of transmission channels in practice much closer totheir true potential even in the face of adversarially effectederrors. Due to the great diversity in the results that it aims toobtain, the research will enable bringing the different communitiesthat work on coding theory closer together, and more widely expoundthe merits of the asymptotic complexity based approach pioneered bytheoretical computer science. Lecture notes from the offerings of thecourses developed in the educational component will be made freelyavailable on the web, and will eventually be embellished into amonograph on coding theory with a focus on computational complexitythat is currently lacking in the standard texts.
期刊论文(0)
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科研奖励(0)
会议论文
Collaborative Research: AF: Medium: Polynomial Optimization: Algorithms, Certificates and Applications
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批准号:2211972
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项目类别:Continuing Grant
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资助金额:$60.0万
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财政年份:2022
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负责人:Venkatesan Guruswami
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依托单位:
AF: Small: The Polymorphic Gateway between Structure and Algorithms: Beyond CSP Dichotomy
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批准号:2228287
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项目类别:Standard Grant
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资助金额:$40.0万
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财政年份:2022
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负责人:Venkatesan Guruswami
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依托单位:
Collaborative Research: CIF: Medium: Group testing for Real-Time Polymerase Chain Reactions: From Primer Selection to Amplification Curve Analysis
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批准号:2107347
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2021
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负责人:Venkatesan Guruswami
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依托单位:
Collaborative Research: CIF: Medium: Group testing for Real-Time Polymerase Chain Reactions: From Primer Selection to Amplification Curve Analysis
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批准号:2210823
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项目类别:Standard Grant
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资助金额:$20.0万
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财政年份:2021
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负责人:Venkatesan Guruswami
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依托单位:
AF: Small: The Polymorphic Gateway between Structure and Algorithms: Beyond CSP Dichotomy
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批准号:1908125
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项目类别:Standard Grant
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资助金额:$40.0万
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财政年份:2019
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负责人:Venkatesan Guruswami
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依托单位:
CIF: Small: New Coding Techniques for Synchronization Errors
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批准号:1814603
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项目类别:Standard Grant
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资助金额:$47.22万
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财政年份:2018
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负责人:Venkatesan Guruswami
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依托单位:
CIF: Medium: Collaborative Research: Frontiers in coding for cloud storage systems
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批准号:1563742
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项目类别:Continuing Grant
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资助金额:$40.0万
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财政年份:2016
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负责人:Venkatesan Guruswami
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依托单位:
CCF: AF: Student Travel Support for the 2016 Computational Complexity Conference
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批准号:1624150
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2016
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负责人:Venkatesan Guruswami
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依托单位:
AF: Small: Approximate optimization: Algorithms, Hardness, and Integrality Gaps
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批准号:1526092
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项目类别:Standard Grant
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资助金额:$25.0万
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财政年份:2015
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负责人:Venkatesan Guruswami
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依托单位:
CCF: AF: Student Travel Support for the 2015 Computational Complexity Conference
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批准号:1535376
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项目类别:Standard Grant
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资助金额:$1.0万
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财政年份:2015
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负责人:Venkatesan Guruswami
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依托单位:
CIF/AF: Small: Some fundamental complexity-inspired coding theory challenges
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批准号:1422045
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项目类别:Standard Grant
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资助金额:$49.99万
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财政年份:2014
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负责人:Venkatesan Guruswami
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依托单位:
AF: Small: Some Frontiers in the Approximability of Constraint Satisfaction and Related Problems
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批准号:1115525
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项目类别:Standard Grant
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资助金额:$38.0万
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财政年份:2011
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负责人:Venkatesan Guruswami
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依托单位:
AF: Medium: New Directions in Coding Theory and Pseudorandomness
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批准号:0963975
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项目类别:Standard Grant
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资助金额:$70.0万
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财政年份:2010
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负责人:Venkatesan Guruswami
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依托单位:
CAREER: Error-Correcting Codes --- List Decoding and Related Algorithmic Challenges
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批准号:1002437
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项目类别:Continuing Grant
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资助金额:$2.65万
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财政年份:2009
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负责人:Venkatesan Guruswami
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依托单位:
Collaborative Research: CDI-Type I: Realizing the Ultimate Potential of List Error-Correction: Theory, Practice, and Applications
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批准号:0953155
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项目类别:Standard Grant
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资助金额:$31.38万
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财政年份:2009
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负责人:Venkatesan Guruswami
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依托单位:
Collaborative Research: CDI-Type I: Realizing the Ultimate Potential of List Error-Correction: Theory, Practice, and Applications
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批准号:0835814
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项目类别:Standard Grant
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资助金额:$33.25万
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财政年份:2008
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负责人:Venkatesan Guruswami
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依托单位:
国内基金
海外基金
基于Laplace Error惩罚函数的变量选择方法及其在全基因组关联分析中的应用
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批准号:11001280
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2010
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负责人:王学钦
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依托单位: