Skip to content

Package: spectral

Spectral estimation and transform nodes.

These nodes operate on the frequency spectrum of the given data. Some nodes will transform from a time-domain representation (packets with a time axis) to a frequency-domain or time/frequency-domain representation (packets with a frequency axis). Also includes some nodes that act on the frequency spectrum even though the input is in the time domain. Note the nodes starting with Power are for simplified predefined use cases.

Nodes in this package:

  • Coherence
    Calculate the magnitude-spared spectral coherence between any channel and all others.

  • Continuous Wavelet Transform
    Calculate a spectrogram (periodogram) of the given data using the Continuous Wavelet Transform (CWT).

  • Cross-Spectral Density
    Compute the complex multichannel cross-spectral density (CSD) matrix via the multi-taper method.

  • Event Related Spectral Perturbation (Meta)
    A meta-node that segments and calculates the ERSPs for a predefined set of event markers.

  • Fast Fourier Transform
    Calculate the (one-dimensional) Fast Fourier Transform (FFT) of the given data along some axis.

  • Inverse Fast Fourier Transform
    Calculate a time-domain signal from its frequency representation using the inverse Fast Fourier Transform (IFFT).

  • Power Spectrum (Lomb-Scargle)
    Calculate the power spectrum of the given data using the Lomb-Scargle method, which is intended for unevently sampled data.

  • Power Spectrum (Multitaper)
    Calculate the power spectral density (PSD) of the given data using the Multi-taper method.

  • Power Band Ratio
    Calculates a ratio of precomputed spectral power bands.

  • Power Bands
    Computes the standard power bands for various units (dB, PSD, relative PSD, sqrt(PSD), with configurable frequency ranges.

  • Power Spectra (Meta)
    A meta-node that segments and calculates the Power Spectra on segmented data.

  • FFT Band-Pass Filter
    Apply a band-pass filter to a given segmented signal.

  • Spectrogram
    Calculate a spectrogram (periodogram) of the given data (that is, a time/frequency representation).

  • Power Spectrum (Welch)
    Calculate the power spectrum of the given data using the Welch method.