Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_specest_mtmconvol”.
FT_SPECEST_MTMCONVOL performs wavelet convolution in the time domain by multiplication in the frequency domain. Use as [spectrum,ntaper,freqoi,timeoi] = ft_specest_mtmconvol(dat,time,...) where input dat = matrix of chan*sample time = vector, containing time in seconds for each sample and output spectrum = matrix of ntaper*chan*freqoi*timeoi of fourier coefficients ntaper = vector containing the number of tapers per freqoi freqoi = vector of frequencies in spectrum timeoi = vector of timebins 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, indicating time-length of data to be padded out to in seconds padtype = string, indicating type of padding to be used (see ft_preproc_padding, default: zero) timeoi = vector, containing time points of interest (in seconds) timwin = vector, containing length of time windows (in seconds) freqoi = vector, containing frequencies (in Hz) tapsmofrq = number, 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_time' (default) or 'chan_time_freqtap' for memory efficiency verbose = output progress to console (0 or 1, default 1) taperopt = additional taper options to be used in the WINDOW function, see WINDOW 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_MTMFFT, FT_SPECEST_TFR, FT_SPECEST_HILBERT, FT_SPECEST_WAVELET