jax.numpy.blackman

Contents

jax.numpy.blackman#

jax.numpy.blackman(M)[source]#

Return the Blackman window.

LAX-backend implementation of numpy.blackman().

Original docstring below.

The Blackman window is a taper formed by using the first three terms of a summation of cosines. It was designed to have close to the minimal leakage possible. It is close to optimal, only slightly worse than a Kaiser window.

Parameters:

M (int) – Number of points in the output window. If zero or less, an empty array is returned.

Returns:

out – The window, with the maximum value normalized to one (the value one appears only if the number of samples is odd).

Return type:

ndarray

References

Blackman, R.B. and Tukey, J.W., (1958) The measurement of power spectra, Dover Publications, New York.

Oppenheim, A.V., and R.W. Schafer. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1999, pp. 468-471.