AMICA-Python reproduces the Fortran AMICA reference to a median relative log-likelihood difference of 1.07e-8 and runs 17.7% faster (34.1% faster with DAAREM acceleration) on 14 EEG recordings.
Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the sumatra region
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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration
AMICA-Python reproduces the Fortran AMICA reference to a median relative log-likelihood difference of 1.07e-8 and runs 17.7% faster (34.1% faster with DAAREM acceleration) on 14 EEG recordings.