Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation
preprintposted 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.
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ORCID of Submitting Author0000-0001-9116-1085
Submitting Author's InstitutionFederal University of Ceara
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