Open ManuelFossa opened 3 months ago
At a guess, it looks like both of those packages have far more detailed defaults for even such a short signal (it looks to only have 46 entries?). You will need to increase the number of wavelets significantly to get a similar detail to those plots. s
gives the # of wavelets per octave, and β gives the tail off towards 0 frequency. In general ContinuousWavelets
is aimed at supporting significantly longer signals than this.
c = wavelet(morl, s=32, β = 1, averagingLength=-1)
res = ContinuousWavelets.cwt(signal, c)
heatmap(abs.(res)', xlabel= "time index", ylabel="frequency index",colorbar=false)
Here's something that more or less closer to the general plot that they have.
Here's the docs regarding wavelet spacing, and the genera docs
Hi,
I ran a CWT using ContinuousWavelets, Matlab WTC package (Grinstead), and R's Biwavelet package, on the same signal. The result are consistent between R and matlab, but not at all with ContinuousWavelets. Can you help me?
data.csv