def _kaiser(n, beta):
"""Independant Kaiser window
For the definition of the Kaiser window, see A. V. Oppenheim & R. W. Schafer, "Discrete-Time Signal Processing".
The continuous version of width n centered about x=0 is:
.. note:: 2 times slower than scipy.kaiser
"""
from scipy.special import iv as besselI
m = n - 1
k = arange(0, m)
k = 2. * beta / m * sqrt(k * (m - k))
w = besselI(0, k) / besselI(0, beta)
return w
def _kaiser(n, beta):
"""Independant Kaiser window
For the definition of the Kaiser window, see A. V. Oppenheim & R. W. Schafer, "Discrete-Time Signal Processing".
The continuous version of width n centered about x=0 is:
.. note:: 2 times slower than scipy.kaiser
"""
from scipy.special import iv as besselI
m = n - 1
k = arange(0, m)
k = 2. * beta / m * sqrt (k * (m - k))
w = besselI (0, k) / besselI (0, beta)
return w