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)


Hartmann, Martin; Toiviainen, Petri (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.


JYU authors:
  • Contact person (yes/no): Yes
  • Contact person (yes/no): Yes

All authors: Hartmann, Martin; Toiviainen, Petri

Funders: Academy 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

Description: 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).

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

Do you deal with data concerning special personal groups in your research?: No


Projects related to dataset


Last updated on 2021-14-04 at 17:30