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