Related Experiment Video
Updated: Mar 24, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
Coarse-graining time series data: Recurrence plot of recurrence plots and its application for music
Miwa Fukino1, Yoshito Hirata2, Kazuyuki Aihara2
1Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan.
Abstract:
We propose a nonlinear time series method for characterizing two layers of regularity simultaneously. The key of the method is using the recurrence plots hierarchically, which allows us to preserve the underlying regularities behind the original time series. We demonstrate the proposed method with musical data. The proposed method enables us to visualize both the local and the global musical regularities or two different features at the same time. Furthermore, the determinism scores imply that the proposed method may be useful for analyzing emotional response to the music.
More Related Videos
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
08:25Combined Invasive Subcortical and Non-invasive Surface Neurophysiological Recordings for the Assessment of Cognitive and Emotional Functions in Humans
Published on: May 19, 2016
Related Concept Videos
Time-Series Graph
Properties of Fourier series II
A function f(t) is...
Discrete-Time Fourier Series
For a discrete-time periodic signal x[n]...
Relative Frequency Histogram
Sampling Continuous Time Signal
In the...
Residual Plots
When the residual values are plotted against the variable x, it is called a residual...