<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Discrete time signals carry information about systems and their internal functional mechanisms which characterize their complexity. Complexity measures are strongly related to information content and evaluations have been made on various signals in many ways in last few years. This paper uses information theory estimates of complexity as different types of entropies in order to estimate the complexity of various time discrete synthesized signals. Results show that this kind of indices can be a useful tool in diagnostic, fault detection and further development.</p></abstract>

Discrete time signals carry information about systems and their internal functional mechanisms which characterize their complexity. Complexity measures are strongly related to information content and evaluations have been made on various signals in many ways in last few years. This paper uses information theory estimates of complexity as different types of entropies in order to estimate the complexity of various time discrete synthesized signals. Results show that this kind of indices can be a useful tool in diagnostic, fault detection and further development.

Methods in Complexity Analysis of Discrete Time Signals

George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Tirgu Mures

Acta Marisiensis. Seria Technologica

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Methods in Complexity Analysis of Discrete Time Signals"}

Discrete time signals carry information about systems and their internal functional mechanisms which characterize their complexity. Complexity measures are...

Methods in Complexity Analysis of Discrete Time Signals

Published Online: Dec 12, 2020

Page range: 54 - 56

DOI: https://doi.org/10.2478/amset-2020-0020

Keywords
entropy, complexity, regularity, randomness

© 2020 Zoltán Germán-Salló et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Methods in Complexity Analysis of Discrete Time Signals

Published Online: Dec 12, 2020

Page range: 54 - 56

DOI: https://doi.org/10.2478/amset-2020-0020

Keywordsentropy, complexity, regularity, randomness

© 2020 Zoltán Germán-Salló et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
entropy, complexity, regularity, randomness