FT_SPECEST_TFR
Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_specest_tfr”.
FT_SPECEST_TFR performs time-frequency analysis on any time series trial data using the 'wavelet method' based on Morlet wavelets, doing convolution in the time domain. Use as [spectrum,freqoi,timeoi] = ft_specest_convol(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 timeoi = vector, containing time points of interest (in seconds, analysis window will be centered around these time points) freqoi = vector, containing frequencies (in Hz) width = number or vector, width of the wavelet, determines the temporal and spectral resolution (default = 7) 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_MTMFFT, FT_SPECEST_MTMCONVOL, FT_SPECEST_HILBERT, FT_SPECEST_NANFFT, FT_SPECEST_WAVELET