Control entropy: A complexity measure for nonstationary signals
We propose an entropy statistic designed to assess the behavior of slowly varying parameters of real systems. Based on correlation entropy, the method uses symbol dynamics and analysis of increments to achieve sufficient recurrence in a short time series to enable entropy measurements on small data...
Saved in:
Main Authors: | Erik M. Bollt, Joseph D. Skufca, Stephen J . McGregor |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2008-11-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2009.6.1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A statistical approach to the use of control entropy identifies differences in constraints of gait in highly trained versus untrained runners
by: Rana D. Parshad, et al.
Published: (2011-11-01) -
RESEARCH ON CBN GRINDING WHEEL PERFORMANCE MONITORING METHOD BASED ON SHANNON ENTROPY AND ACOUSTIC EMISSION SIGNAL (MT)
by: TAN YongMin, et al.
Published: (2023-01-01) -
Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic
by: Jessilyn Dunn, et al.
Published: (2025-01-01) -
Entropy, complexity, and spectral features of EEG signals in autism and typical development: a quantitative approach
by: Aleksandar Tenev, et al.
Published: (2025-02-01) -
Using Entropy to Measure Religious Pluralism
by: George Sturm
Published: (2025-01-01)