tf.keras.ops.kaiser
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Kaiser window function.
tf.keras.ops.kaiser(
x, beta
)
The Kaiser window is defined as:
w[n] = I0(beta * sqrt(1 - (2n / (N - 1) - 1)^2)) / I0(beta)
where I0 is the modified zeroth-order Bessel function of the first kind.
Args |
|---|
x
|
Scalar or 1D Tensor. The window length.
|
beta
|
Float. Shape parameter for the Kaiser window.
|
Returns |
|---|
|
A 1D tensor containing the Kaiser window values.
|
Example:
x = keras.ops.convert_to_tensor(5)
keras.ops.kaiser(x, beta=14.0)
array([7.7268669e-06, 1.6493219e-01, 1.0000000e+00, 1.6493219e-01,
7.7268669e-06], dtype=float32)
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Last updated 2026-10-31 UTC.
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View source on GitHub