brainunit.math.kaiser

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brainunit.math.kaiser#

brainunit.math.kaiser(M, beta)#

Return a Kaiser window of size M.

JAX implementation of numpy.kaiser().

Parameters:

  • M (int) – The window size.

  • beta (Array | ndarray | bool | number | bool | int | float | complex) – The Kaiser window parameter.

Return type:

Array

Returns:

An array of size M containing the Kaiser window.

Examples

>>> with jnp.printoptions(precision=2, suppress=True):
...   print(jnp.kaiser(4, 1.5))
[0.61 0.95 0.95 0.61]

See also

  • jax.numpy.bartlett(): return a Bartlett window of size M.

  • jax.numpy.blackman(): return a Blackman window of size M.

  • jax.numpy.hamming(): return a Hamming window of size M.

  • jax.numpy.hanning(): return a Hanning window of size M.

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