I only managed to get some "good" results using spectrogram function in matlab.īut I dont have much idea of how to use the morlet complex wavelet. The normalizationįactor was A = 1 /(σ (2π)^0.5 ), and the constant m defining the compromise between time and frequency resolution was 7. ![]() W(t,f0 ) = Aexp(−t^2 / 2*σ^2 )exp(2*i πf0*t)įor each frequency of interest f0, where σ = m/2πf0, and i is the imaginary unit. ![]() Time–frequency spectrograms of the data from 1–88 Hz by convolving the signals with a complex Morlet wavelet of the form " Power estimates from the averaged LFPs were calculated from The article state that they used Complex Morlet wavelet to create the spectrogram: The time is in milliseconds (frequency is 40000 Hz) ![]() I am trying to recreate the following results:
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