Dear Prof. Mike X Cohen,

I watched your lectures on Data analysis. Then I am trying to apply wavelet convolution method to present the frequency spectrum of my signal. Because a new user can’t upload images and add more than 2 links. So I uploaded there images on imgur in order. Sorry for the inconvenient.

My raw signal: image_1

The signal was recorded from motor cortex while finger move: image_2

I applied the wavelet with parameters:

Cycles in range [130, 120] and created by logspace: nCycles = np.logspace(np.log10(range_cycles[0]), np.log10(range_cycles[-1]), num_frex)

The power was converted to dB: spectrum = 10 * np.log10(np.power(abs(conv), 2))

However, my freq spectrogram looks abnormal: image_3

Could you please take a look and give me some opinions on it? To make the spectrogram more make sense.

Thank so much for your help.