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- W2100451806 abstract "Estimating the entropy of finite strings has applications in areas such as event detection, similarity measurement or in the performance assessment of compression algorithms. This report compares a variety of computable information measures for finite strings that may be used in entropy estimation. These include Shannon’s n-block entropy, the three variants of the Lempel-Ziv production complexity, and the lesser known T-entropy. We apply these measures to strings derived from the logistic map, for which Pesin’s identity allows us to deduce corresponding Shannon entropies (Kolmogorov-Sinai entropies) without resorting to probabilistic methods." @default.
- W2100451806 created "2016-06-24" @default.
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- W2100451806 date "2006-01-01" @default.
- W2100451806 modified "2023-10-04" @default.
- W2100451806 title "How well do practical information measures estimate the Shannon entropy" @default.
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