,Shannon Entropy,Shannon entropies,Shannons entropy

Shannon Entropy
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Stemming Variations: Shannon entropies, Shannons entropy
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    • Shannon entropy is a useful and important measure in information processing, for instance, data compression or randomness extraction, under the assumption—which can typically safely be made in communication theory—that a certain random experiment is independently repeated many times...

    Renato Renneret al. Simple and Tight Bounds for Information Reconciliation and Privacy Amp...

    • The Shannon entropy is a widely used summary statistic, for example, network traffic measurement, anomaly detection, neural computations, spike trains, etc. This study focuses on estimating Shannon entropy of data streams. It is known that Shannon entropy can be approximated by Reenyi entropy or Tsallis entropy, which are both functions of the p-th frequency moments and approach Shannon entropy as p->1...

    Ping Li. Estimating Entropy of Data Streams Using Compressed Counting

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