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Journal ArticleDOI

On the Complexity of Finite Sequences

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TLDR
A new approach to the problem of evaluating the complexity ("randomness") of finite sequences is presented, related to the number of steps in a self-delimiting production process by which a given sequence is presumed to be generated.
Abstract
A new approach to the problem of evaluating the complexity ("randomness") of finite sequences is presented. The proposed complexity measure is related to the number of steps in a self-delimiting production process by which a given sequence is presumed to be generated. It is further related to the number of distinct substrings and the rate of their occurrence along the sequence. The derived properties of the proposed measure are discussed and motivated in conjunction with other well-established complexity criteria.

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Citations
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Book ChapterDOI

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database

TL;DR: For this paper, new CTU-UHB CTG database was used to compute more than 50 features, ranging from classical morphological features based on FIGO guidelines to frequency-domain and non-linear features.
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Computing regularities in strings

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Data Structure Lower Bounds on Random Access to Grammar-Compressed Strings

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Journal ArticleDOI

The measures of sequence complexity for EEG studies

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References
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Journal ArticleDOI

Three approaches to the quantitative definition of information

TL;DR: In this article, three approaches to the quantitative definition of information are presented: information-based, information-aware and information-neutral approaches to quantifying information in the context of information retrieval.
Journal ArticleDOI

The definition of random sequences

TL;DR: It is shown that the random elements as defined by Kolmogorov possess all conceivable statistical properties of randomness and can equivalently be considered as the elements which withstand a certain universal stochasticity test.
Journal ArticleDOI

Process complexity and effective random tests

TL;DR: A variant of the Kolmogorov concept of complexity which yields a common theory of finite and infinite random sequences and some concepts of effective tests which are proved to be equivalent are established.
Journal ArticleDOI

Information-Theoretic Limitations of Formal Systems

TL;DR: An attempt is made to apply information-theoretic computational complexity to meta-mathematics by measuring the difficulty of proving a given set of theorems, in terms of the number of bits of axioms that are assumed, and the size of the proofs needed to deduce the theoremic proofs.
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