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Problems in Data Compression, Universal Coding, and Computational Information Theory

Problems in Data Compression, Universal Coding, and Computational Information Theory
数据压缩、通用编码和计算信息论中的问题
批准号：
9304984
负责人：
John Kieffer
金额：
$32.03万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1993
资助国家：
美国
项目状态：
已结题
起止时间：
1993-09-15 至 1997-08-31
来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9304984&HistoricalAwards=false
关键词：
ProblemsDataCompressionUniversalCoding

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中文摘要
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英文摘要
9304984 Kieffer Multiresolution techniques for image compression shall be investigated as well as the problem of finding algorithms for compressing text that outperform text compression algorithms which are based upon finite-state automata. Efficiency questions concerning universal codes shall be addressed, as well as the use of universal codes in model class identification and statistical parameter estimation. In computational information theory fast algorithms shall be sought for finding successive approximations to entropy rates, channel capacities, and rate distortion functions; also, cellular automata and other automata shall be sought for the fast performance of encoding and decoding tasks. ***
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  • 批准号：
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  • 项目类别：
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  • 批准号：
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  • 项目类别：
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  • 资助金额：
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  • 批准年份：
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  • 负责人：
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