jax.numpy.kaiser

jax.numpy.kaiser(M, beta)

Return the Kaiser window.

LAX-backend implementation of numpy.kaiser().

Original docstring below.

The Kaiser window is a taper formed by using a Bessel function.

Parameters

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

• beta (float) – Shape parameter for window.

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

array

References

1

J. F. Kaiser, “Digital Filters” - Ch 7 in “Systems analysis by digital computer”, Editors: F.F. Kuo and J.F. Kaiser, p 218-285. John Wiley and Sons, New York, (1966).

2

E.R. Kanasewich, “Time Sequence Analysis in Geophysics”, The University of Alberta Press, 1975, pp. 177-178.

3

Wikipedia, “Window function”, https://en.wikipedia.org/wiki/Window_function