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Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. More theoretical and implementation details can be found in Guignard et al. doi:10.3389/feart.2020.00255. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').
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