Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems
The nonparametric Sample Entropy (SE) estimator has become a standard for the quantification of structural complexity of nonstationary time series, even in critical cases of unfavorable noise levels. The SE has proven very successful for signals that exhibit a certain degree of the underlying struct...
Main Authors: | Theerasak Chanwimalueang, Danilo P. Mandic |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/19/12/652 |
Similar Items
-
Hierarchical Cosine Similarity Entropy for Feature Extraction of Ship-Radiated Noise
by: Zhe Chen, et al.
Published: (2018-06-01) -
Cosine Similarity Measure of Interval Valued Neutrosophic Sets
by: Said Broumi, et al.
Published: (2014-09-01) -
Some Cosine Similarity Measures and Distance Measures between Complex q-Rung Orthopair Fuzzy Sets and Their Applications
by: Peide Liu, et al.
Published: (2021-06-01) -
Analysis of Document Clustering based on Cosine Similarity and K-Main Algorithms
by: Bambang Krismono Triwijoyo, et al.
Published: (2019-09-01) -
Similarity Measures of T-Spherical Fuzzy Sets Based on the Cosine Function and Their Applications in Pattern Recognition
by: Mei-Qin Wu, et al.
Published: (2020-01-01)