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 multiplication in the frequency domain. Use as [spectrum,freqoi,timeoi] = ft_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) padtype = string, indicating type of padding to be used (see ft_preproc_padding, default = 'zero') 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

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