DocumentCode :
1523435
Title :
Entropy estimators and serial tests for ergodic chains
Author :
Wegenkittl, Stefan
Author_Institution :
Inst. fur Math., Salzburg Univ., Austria
Volume :
47
Issue :
6
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
2480
Lastpage :
2489
Abstract :
Maurer (1992, A universal statistical test for random bit generators) discussed a statistic whose value is closely related to the per-bit-entropy of an ergodic stationary source. Here we derive an entropy estimate from a class of generalized serial tests and discuss its relationship to return-time-based entropy estimators and frequency-based goodness-of-fit tests. Our setup extends Kullback´s I-divergence approach for independent stationary sequences to the class of ergodic Markov chains. The effects caused by the order of the source are examined theoretically and by an empirical study
Keywords :
Markov processes; entropy; estimation theory; sequences; I-divergence approach; ergodic Markov chains; ergodic chains; ergodic stationary source; frequency-based goodness-of-fit tests; independent stationary sequences; per-bit-entropy; random bit generator; return-time-based entropy estimators; serial tests; source order; universal statistical test; Convergence; Counting circuits; Entropy; Frequency estimation; Probability distribution; Quality assessment; Random number generation; Statistical analysis; Statistical distributions; Testing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.945259
Filename :
945259
Link To Document :
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