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