Some Remarks about Entropy of Digital Filtered Signals.

Autor: Borges VS; Control and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei 36307-352, Brazil., Nepomuceno EG; Control and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei 36307-352, Brazil., Duque CA; Department of Electrical Engineering, Federal University of Juiz de Fora, Juiz de Fora 36036-900, Brazil., Butusov DN; Youth Research Institute, Saint-Petersburg Electrotechnical University 'LETI', Saint Petersburg 197376, Russia.
Jazyk: angličtina
Zdroj: Entropy (Basel, Switzerland) [Entropy (Basel)] 2020 Mar 23; Vol. 22 (3). Date of Electronic Publication: 2020 Mar 23.
DOI: 10.3390/e22030365
Abstrakt: The finite numerical resolution of digital number representation has an impact on the properties of filters. Much effort has been done to develop efficient digital filters investigating the effects in the frequency response. However, it seems that there is less attention to the influence in the entropy by digital filtered signals due to the finite precision. To contribute in such a direction, this manuscript presents some remarks about the entropy of filtered signals. Three types of filters are investigated: Butterworth, Chebyshev, and elliptic. Using a boundary technique, the parameters of the filters are evaluated according to the word length of 16 or 32 bits. It has been shown that filtered signals have their entropy increased even if the filters are linear. A significant positive correlation ( p < 0.05) was observed between order and Shannon entropy of the filtered signal using the elliptic filter. Comparing to signal-to-noise ratio, entropy seems more efficient at detecting the increasing of noise in a filtered signal. Such knowledge can be used as an additional condition for designing digital filters.
Databáze: MEDLINE