API Reference#
IRASA#
Functions to compute IRASA.
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Computes the aperiodic and periodic components of the power spectrum from a time series using the Irregular Resampling Autocorrelation (IRASA) algorithm. |
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Computes time-resolved aperiodic and periodic components of the power spectrum from a time series using the Irregular Resampling Autocorrelation (IRASA) algorithm. |
IRASA MNE#
Interface to use the IRASA algorithm with MNE objects.
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Separate aperiodic from periodic power spectra using the IRASA algorithm. |
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Separate aperiodic from periodic power spectra using the IRASA algorithm for Epochs data. |
Aperiodic Utilities#
Utilities for slope fitting.
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Computes aperiodic parameters from the aperiodic spectrum using scipy's curve fitting function. |
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Extracts aperiodic parameters from the aperiodic spectrogram using scipy's curve fitting function. |
Aperiodic Model Fitting#
Classes used to model aperiodic spectra
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Abstract base class for fitting functions used to model aperiodic spectra. |
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A model for fitting aperiodic activity in power spectra. |
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A model for fitting aperiodic activity in power spectra with a spectral knee. |
Periodic Feature Extraction#
Utilities for extracting peak parameters.
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Extracts peak parameters from the periodic spectrum obtained via IRASA. |
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Extracts peak parameters from a periodic spectrogram obtained via IRASA. |
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Extract peak information within a specified frequency range from a DataFrame of peak parameters. |