FieldTrip

Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help ft_specest_wavelet”.

  FT_SPECEST_WAVELET performs time-frequency analysis on any time series trial
  data using the 'wavelet method' based on Morlet wavelets, doing
  convolution in the time domain by multiplaction in the frequency domain
 
  Use as
    [spectrum,freqoi,timeoi] = specest_wavelet(dat,time...)
  where
    dat      = matrix of chan*sample
    time     = vector, containing time in seconds for each sample
    spectrum = array of chan*freqoi*timeoi of fourier coefficients
    freqoi   = vector of frequencies in spectrum
    timeoi   = vector of timebins in spectrum
 
  Optional arguments should be specified in key-value pairs and can include:
    pad        = number, total length of data after zero padding (in seconds)
    freqoi     = vector, containing frequencies of interest
    timeoi     = vector, containing time points of interest (in seconds)
    width      = number or vector, width of the wavelet, determines the temporal and spectral resolution
    gwidth     = number, determines the length of the used wavelets in standard deviations of the implicit Gaussian kernel
    verbose    = output progress to console (0 or 1, default 1)
    polyorder  = number, the order of the polynomial to fitted to and removed from the data
                   prior to the fourier transform (default = 0 -> remove DC-component)
 
  See also FT_FREQANALYSIS, FT_SPECEST_MTMCONVOL, FT_SPECEST_TFR, FT_SPECEST_HILBERT, FT_SPECEST_MTMFFT