Identification via compressed data

R. Ahlswede, E. Yang, Zhen Zhang
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引用次数: 35

Abstract

A combined problem of source coding and identification is considered. To put the problem in perspective, the authors first review the traditional problem in source coding theory.
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通过压缩数据进行识别
考虑了源编码与识别相结合的问题。为了正确地看待这个问题,作者首先回顾了源编码理论中的传统问题。
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Large deviations and consistent estimates for Gibbs random fields Markov chains for modeling and analyzing digital data signals Maximized mutual information using macrocanonical probability distributions Coding for noisy feasible channels Identification via compressed data
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