new_contents: from tensorpac import Pac
  from tensorpac.utils import PacTriVec, PacSignals
  import matplotlib.pyplot as plt
  
  data, time = PacSignals(famp=120, noise=3, tmax=1, ndatasets=1, dpha=10, damp=10)
  
  ampvec, ampidx = PacTriVec(fwidth=2, fend=200)  # 
  p = Pac(idpac=(2, 4, 1), fpha=[9, 11], famp=ampvec,
          dcomplex='hilbert', width=12)
  
  
  xpac = p.filterfit(1024, data, data, axis=1)[0]
  plt.subplot(1, 2, 1)
  p.triplot(xpac, ampvec, ampidx, plotas='imshow', vmin=0.,
            title='Complex decomposition : Hilbert\n' + p.method)
  
  p.dcomplex = 'wavelet'
  xpac = p.filterfit(1024, data, data, axis=1)[0]
  plt.subplot(1, 2, 2)
  p.triplot(xpac, ampvec, ampidx, plotas='imshow', vmin=0.,
            title='Complex decomposition : Wavelet\n' + p.method)
  
  plt.show()
  
subject: Add trivec example