Empirical Mode Decomposition Analysis for Visual Stylometry

2012 ◽  
Vol 34 (11) ◽  
pp. 2147-2157 ◽  
Author(s):  
J. M. Hughes ◽  
Dong Mao ◽  
D. N. Rockmore ◽  
Yang Wang ◽  
Qiang Wu
Keyword(s):  
Empirical Mode Decomposition ◽  
Decomposition Analysis ◽  
Mode Decomposition

scholarly journals Ensemble Empirical Mode Decomposition Analysis of EEG Data Collected during a Contour Integration Task

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0119489 ◽  
Author(s):  
Karema Al-Subari ◽  
Saad Al-Baddai ◽  
Ana Maria Tomé ◽  
Gregor Volberg ◽  
Rainer Hammwöhner ◽  
...  
Keyword(s):  
Empirical Mode Decomposition ◽  
Decomposition Analysis ◽  
Ensemble Empirical Mode Decomposition ◽  
Contour Integration ◽  
Mode Decomposition ◽  
Eeg Data

Empirical Mode Decomposition Analysis for Broken-Bar Detection on Squirrel Cage Induction Motors

2015 ◽  
Vol 64 (5) ◽  
pp. 1118-1128 ◽  
Author(s):  
Ricardo Valles-Novo ◽  
Jose de Jesus Rangel-Magdaleno ◽  
Juan Manuel Ramirez-Cortes ◽  
Hayde Peregrina-Barreto ◽  
Roberto Morales-Caporal
Keyword(s):  
Empirical Mode Decomposition ◽  
Induction Motors ◽  
Decomposition Analysis ◽  
Squirrel Cage ◽  
Mode Decomposition ◽  
Broken Bar Detection

scholarly journals On the multi-scale nature of large geomagnetic storms: an empirical mode decomposition analysis

2012 ◽  
Vol 19 (6) ◽  
pp. 667-673 ◽  
Author(s):  
P. De Michelis ◽  
G. Consolini ◽  
R. Tozzi
Keyword(s):  
Time Series ◽  
Empirical Mode Decomposition ◽  
Geomagnetic Activity ◽  
Geomagnetic Storms ◽  
Decomposition Analysis ◽  
Activity Level ◽  
Activity Levels ◽  
Geomagnetic Disturbances ◽  
Multi Scale ◽  
Mode Decomposition

Abstract. Complexity and multi-scale are very common properties of several geomagnetic time series. On the other hand, it is amply demonstrated that scaling properties of geomagnetic time series show significant changes depending on the geomagnetic activity level. Here, we study the multi-scale features of some large geomagnetic storms by applying the empirical mode decomposition technique. This method, which is alternative to traditional data analysis and is designed specifically for analyzing nonlinear and nonstationary data, is applied to long time series of Sym-H index relative to periods including large geomagnetic disturbances. The spectral and scaling features of the intrinsic mode functions (IMFs) into which Sym-H time series can be decomposed, as well as those of the Sym-H time series itself, are studied considering different geomagnetic activity levels. The results suggest an increase of dynamical complexity and multi-scale properties for intermediate geomagnetic activity levels.

Sign in / Sign up

Export Citation Format

Share Document