Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mahdy Kouka"'
Publikováno v:
Entropy, Vol 26, Iss 1, p 82 (2024)
Slope Entropy (SlpEn) is a novel method recently proposed in the field of time series entropy estimation. In addition to the well-known embedded dimension parameter, m, used in other methods, it applies two additional thresholds, denoted as δ and γ
Externí odkaz:
https://doaj.org/article/c6b952a2b46c4e049d313afc2433cbf9
Autor:
Mahdy Kouka, David Cuesta-Frau
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 67 (2023)
Slope Entropy (SlpEn) is a recently proposed time series entropy estimation method for classification. This method has yielded better results than other similar methods in all the published studies so far. It is based on a signal-gradient thresholdin
Externí odkaz:
https://doaj.org/article/2cf9e298a49649d38104ecad6e6f8404
Publikováno v:
Entropy, Vol 25, Iss 1, p 66 (2022)
Slope Entropy (SlpEn) is a very recently proposed entropy calculation method. It is based on the differences between consecutive values in a time series and two new input thresholds to assign a symbol to each resulting difference interval. As the his
Externí odkaz:
https://doaj.org/article/e9eaf1b8b3464ad3adbb0a1b02d295fc
Autor:
Mahdy Kouka, David Cuesta-Frau
Publikováno v:
Entropy, Vol 24, Iss 10, p 1456 (2022)
Many time series entropy calculation methods have been proposed in the last few years. They are mainly used as numerical features for signal classification in any scientific field where data series are involved. We recently proposed a new method, Slo
Externí odkaz:
https://doaj.org/article/71a382d726eb4782a93586c42a52be00