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tutorial:timefrequencyanalysis [2018/05/27 16:08]
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tutorial:timefrequencyanalysis [2018/05/27 16:12] (current)
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 ==== Hanning taper, fixed window length ==== ==== Hanning taper, fixed window length ====
-Here we will describe how to calculate time frequency representations using Hanning tapers. When choosing for a fixed window length procedure the frequency resolution is defined according to the length of the time window (delta T). The frequency resolution (delta f in figure 1) = 1/length of time window in sec (delta T in figure 1). Thus a 500 ms time window results in a 2 Hz frequency resolution (1/0.5 sec= 2 Hz) meaning that power can be calculated for 2 Hz, 4 Hz, 6 Hz etc.  An integer number of cycles must fit in the time window.+Herewe will describe how to calculate time frequency representations using Hanning tapers. When choosing for a fixed window length procedure the frequency resolution is defined according to the length of the time window (delta T). The frequency resolution (delta f in figure 1) = 1/length of time window in sec (delta T in figure 1). Thus a 500 ms time window results in a 2 Hz frequency resolution (1/0.5 sec= 2 Hz) meaning that power can be calculated for 2 Hz, 4 Hz, 6 Hz etc.  An integer number of cycles must fit in the time window.
  
 **[[reference:​ft_freqanalysis|Ft_freqanalysis]]** requires preprocessed data (see above), which is available from ftp://​ftp.fieldtriptoolbox.org/​pub/​fieldtrip/​tutorial/​timefrequencyanalysis/​dataFIC.mat. **[[reference:​ft_freqanalysis|Ft_freqanalysis]]** requires preprocessed data (see above), which is available from ftp://​ftp.fieldtriptoolbox.org/​pub/​fieldtrip/​tutorial/​timefrequencyanalysis/​dataFIC.mat.