torch.signal.windows.exponential
torch.signal.windows.exponential(M, *, center=None, tau=1.0, sym=True, dtype=None, layout=torch.strided, device=None, requires_grad=False)
Computes a window with an exponential waveform. Also known as
   Poisson window.
The exponential window is defined as follows:
  w_n = \exp{\left(-\frac{|n - c|}{\tau}\right)}

where c is the "center" of the window.
The window is normalized to 1 (maximum value is 1). However, the 1
   doesn't appear if "M" is even and "sym" is True.
Parameters:
      M (int) -- the length of the window. In other words, the
      number of points of the returned window.
Keyword Arguments:
      * center (float, optional) -- where the center of the
        window will be located. Default: M / 2 if sym is False,
        else (M - 1) / 2.
  * **tau** (*float**, **optional*) -- the decay value. Tau is
    generally associated with a percentage, that means, that the
