MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement interaction with generalized cross-wavelet transform" (Toiviainen & Hartmann, 2021)
Toiviainen, Petri; Hartman, Martin. (2021). MATLAB codes implementing the generalized cross-wavelet transform (GXWT) algorithm described in the paper "Analyzing multidimensional movement interaction with generalized cross-wavelet transform" (Toiviainen & Hartmann, 2021). V. 9.4.2021. University of Jyväskylä. https://doi.org/10.17011/jyx/dataset/75063.
JYU authors:
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All authors: Toiviainen, Petri; Hartman, Martin
Funders: Research Council of Finland
Right-holders:
Availability and identifiers
Availability: Direct download
Publication year: 2021
Persistent identifiers of the dataset: URN:NBN:fi:jyu-202104142376;10.17011/jyx/dataset/75063
URN identifier in JYX: http://urn.fi/URN:NBN:fi:jyu-202104142376
DOI identifier in JYX: https://doi.org/10.17011/jyx/dataset/75063
Description of the dataset
Basic workflow for multivariate (time by channel) signals d1 and d2:
[w1,f] = cwtensor(d1,FS,MINF,MAXF);
[w2,f] = cwtensor(d2,FS,MINF,MAXF);
[xs p1 p2] = getxwt(w1,w2);
NOTE: cwtensor.m requires the Wavelet Toolbox for MATLAB.
Keywords (YSO): MATLAB; interaction; coordination; spectrum analysis; frequency
Fields of science: 6131 Theatre, dance, music, other performing arts; 113 Computer and information sciences; 114 Physical sciences
Follow-up groups: Music, Mind and Technology (Department of Music, Art and Culture Studies MUTKU) MMT; Musicology (Department of Music, Art and Culture Studies MUTKU) MUS
Do you deal with data concerning special categories of personal data in your research?: No
Projects related to dataset
- Take the “N” Train: Dance, Entrainment and Prosocial Behaviour
- Toiviainen, Petri
- Research Council of Finland
- Interaction in Music Therapy for Depression
- Hartmann, Martin
- Research Council of Finland
