neurodsp.aperiodic.conversions.convert_exponent_alpha¶
- neurodsp.aperiodic.conversions.convert_exponent_alpha(exponent)[source]¶
Convert a powerlaw exponent to the expected DFA alpha value.
- Parameters
- exponentfloat
Aperiodic exponent value, representing a 1/f distribution.
- Returns
- alphafloat
Predicted DFA alpha value for the given exponent value.
References
- 1
Schaefer, A., Brach, J. S., Perera, S., & Sejdić, E. (2014). A comparative analysis of spectral exponent estimation techniques for 1/fβ processes with applications to the analysis of stride interval time series. Journal of Neuroscience Methods, 222, 118–130. https://doi.org/10.1016/j.jneumeth.2013.10.017
Examples
Convert a powerlaw exponent for pink noise to the expected DFA value:
>>> convert_exponent_alpha(-1) 1.0
Convert a powerlaw exponent for white noise to the expected DFA value:
>>> convert_exponent_alpha(0) 0.5