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Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation

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posted on 2020-07-13, 16:32 authored by Rubens RamosRubens Ramos
The amount of randomness in a signal generated by physical or non-physical process can reveal important information about that process. In this direction, the present work proposes to use the disentropy of the autocorrelation function as a measure of randomness. Examples using noisy and chaotic signals, economic and biological data are shown.

Funding

CNPq

CAPES

History

Email Address of Submitting Author

rubens.ramos@ufc.br

ORCID of Submitting Author

0000-0001-9116-1085

Submitting Author's Institution

Federal University of Ceara

Submitting Author's Country

  • Brazil

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    Keywords

    DisentropyLambert-Tsallis functionRandomnessautocorrelation function

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    CC BY 4.0

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