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PaWFE - Fast Signal Feature Extraction Using Parallel Time Windows Package icon ParFeatureExtraction.zip

PaWFE include a parallel signal feature extraction algorithm that can extract widely used features (such as the ones released by A.D.C. Chan) and allow researchers to easily add new ones.
In case you use this code, please cite the following papers:
Atzori M., Müller H. (2019), Fast signal feature extraction using parallel time windows. Frontiers in Neurorobotics. (submitted).
Chan, A. D. C., and Green, G. C. (2017). Myoelectric control development toolbox. CMBES. Proc. 30.
http://www.sce.carleton.ca/faculty/chan/matlab/myoelectric%20control%20d...

The code is also available on GitHub:
https://github.com/manfredoatzori/PaWFE---Parallel-Window-Feature-Extrac...