tag:joss.theoj.org,2005:/papers/reviewed_by/@JanCBrammerJournal of Open Source Software2021-03-31T15:31:01ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/22092021-03-31T15:31:01Z2021-04-02T06:16:20ZEMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Pythonacceptedv0.3.22020-11-30 18:36:36 UTC592021-03-31 15:31:01 UTC620212977AndrewJ.QuinnOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UKVitorLopes-dos-SantosMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3TH, United KingdomDavidDupretMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3TH, United KingdomAnnaChristinaNobreOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK, Department of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UKMarkW.WoolrichOxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK10.21105/joss.02977https://doi.org/10.5281/zenodo.4647949Pythonhttps://joss.theoj.org/papers/10.21105/joss.02977.pdfTime-series, Non-linear, Dynamics