FT_SPECEST_HILBERT

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

  FT_SPECEST_HILBERT performs a spectral estimation of data by repeatedly
  applying a bandpass filter and then doing a hilbert transform.
 
  Use as
    [spectrum,freqoi,timeoi] = specest_hilbert(dat,time,...)
  where
    dat      = matrix of chan*sample
    time     = vector, containing time in seconds for each sample
    spectrum = matrix 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)
    freqoi    = vector, containing frequencies (in Hz)
    pad       = number, indicating time-length of data to be padded out to in seconds (used for spectral interpolation, NOT filtering)
    width     = number or vector, width of band-pass surrounding each element of freqoi
    filttype  = string, filter type, 'but' or 'fir' or 'firls'
    filtorder = number or vector, filter order
    filtdir   = string, filter direction,  'twopass', 'onepass' or 'onepass-reverse' 
    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_TFR, FT_SPECEST_MTMCONVOL, FT_SPECEST_WAVELET

reference/ft_specest_hilbert.txt · Last modified: 2012/05/23 23:02 (external edit)

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