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