mne.time_frequency.compute_epochs_psd¶

mne.time_frequency.compute_epochs_psd(epochs, picks=None, fmin=0, fmax=inf, tmin=None, tmax=None, n_fft=256, n_overlap=0, proj=False, n_jobs=1, verbose=None)¶

Compute power spectral density with average periodograms.

Parameters:

epochs : instance of Epochs The epochs. picks : array-like of int | None The selection of channels to include in the computation. If None, take all channels. fmin : float Min frequency of interest fmax : float Max frequency of interest tmin : float | None Min time of interest tmax : float | None Max time of interest n_fft : int The length of the tapers ie. the windows. The smaller it is the smoother are the PSDs. The default value is 256. If n_fft > len(epochs.times), it will be adjusted down to len(epochs.times). n_overlap : int The number of points of overlap between blocks. Will be adjusted to be <= n_fft. proj : bool Apply SSP projection vectors. n_jobs : int Number of CPUs to use in the computation. verbose : bool, str, int, or None If not None, override default verbose level (see mne.verbose).

Returns:

psds : ndarray (n_epochs, n_channels, n_freqs) The power spectral densities. freqs : ndarray (n_freqs) The frequencies.