articleTop 10% cited
On the Complexity of Finite Sequences
IEEE Transactions on Information Theory · 1976 · Vol. 22(1) · pp. 75–81
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.
Computability, Logic, AI Algorithmssemigroups and automata theoryCellular Automata and ApplicationsSubstringRandomnessSequence (biology)Measure (data warehouse)Computational complexity theoryConjunction (astronomy)MathematicsTheoretical computer scienceAlgorithmComputer science
Citations
2,712
FWCI
4.70
field-weighted impact
References
8
Percentile
95%
vs. same field & year
Citations per year
Cited by
A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior
Science Translational Medicine · 2013 · 1,245 citations
A statistical measure of complexity
Physics Letters A · 1995 · 872 citations
Handbook of applied cryptography
Choice Reviews Online · 1997 · 10,449 citations
A universal algorithm for sequential data compression
IEEE Transactions on Information Theory · 1977 · 5,424 citations
Approximate Entropy as a diagnostic tool for machine health monitoring
Mechanical Systems and Signal Processing · 2006 · 437 citations
Compression of individual sequences via variable-rate coding
IEEE Transactions on Information Theory · 1978 · 3,429 citations
Seizure prediction: the long and winding road
Brain · 2006 · 1,098 citations
On the predictability of epileptic seizures
Clinical Neurophysiology · 2005 · 491 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
