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

  FT_SPECEST_MTMFFT computes a fast Fourier transform using multitapering with
  multiple tapers from the DPSS sequence or using a variety of single tapers.
 
  Use as
    [spectrum,ntaper,freqoi] = ft_specest_mtmfft(dat,time...)
  where
    dat        = matrix of chan*sample
    time       = vector, containing time in seconds for each sample
    spectrum   = matrix of taper*chan*freqoi of fourier coefficients
    ntaper     = vector containing number of tapers per element of freqoi
    freqoi     = vector of frequencies in spectrum
 
  Optional arguments should be specified in key-value pairs and can include
    taper      = 'dpss', 'hanning' or many others, see WINDOW (default = 'dpss')
    pad        = number, total length of data after zero padding (in seconds)
    padtype    = string, indicating type of padding to be used (see ft_preproc_padding, default: zero)
    freqoi     = vector, containing frequencies of interest
    tapsmofrq  = the amount of spectral smoothing through multi-tapering. Note: 4 Hz smoothing means plus-minus 4 Hz, i.e. a 8 Hz smoothing box
    dimord     = 'tap_chan_freq' (default) or 'chan_time_freqtap' for memory efficiency (only when use variable number slepian tapers)
    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)
    taperopt   = additional taper options to be used in the WINDOW function, see WINDOW
    verbose    = output progress to console (0 or 1, default 1)
 
  See also FT_FREQANALYSIS, FT_SPECEST_MTMCONVOL, FT_SPECEST_TFR, FT_SPECEST_HILBERT, FT_SPECEST_WAVELET