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In the IRASA paper, the algorithm section notes that they split the signal into 10 overlapping segments of 90% of the signal, run IRASA on each segment, then average the resulting psd and psd_aperiodic across segments. The current IRASA implementation in neurodsp doesn't segment the signal. This may be worth adding. Kwargs for n_segs and seg_fract could be added so n_segs=1 and seg_fract=1 would produce the same results as the current implementation, while n_segs=10 and seg_fract=.1 would reproduce the paper's algorithm.
The text was updated successfully, but these errors were encountered:
In the IRASA paper, the algorithm section notes that they split the signal into 10 overlapping segments of 90% of the signal, run IRASA on each segment, then average the resulting psd and psd_aperiodic across segments. The current IRASA implementation in neurodsp doesn't segment the signal. This may be worth adding. Kwargs for
n_segs
andseg_fract
could be added son_segs=1
andseg_fract=1
would produce the same results as the current implementation, whilen_segs=10
andseg_fract=.1
would reproduce the paper's algorithm.The text was updated successfully, but these errors were encountered: