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Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation
  • Rubens Ramos
Rubens Ramos
Federal University of Ceara

Corresponding Author:[email protected]

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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.
Jul 2021Published in SN Computer Science volume 2 issue 4. 10.1007/s42979-021-00666-w