code: def normalize_bound(sig, lb=0, ub=1):
      
  
      mid = ub - (ub - lb) / 2
      min_v = np.min(sig)
      max_v = np.max(sig)
      mid_v =  max_v - (max_v - min_v) / 2
      coef = (ub - lb) / (max_v - min_v)
      return sig * coef - (mid_v * coef) + mid
docs: Normalize a signal between the lower and upper bound
  
      Parameters
      ----------
      sig : numpy array
          Original signal to be normalized
      lb : int, or float
          Lower bound
      ub : int, or float
          Upper bound
  
      Returns
      -------
      x_normalized : numpy array
          Normalized signal