tf.keras.ops.hamming
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Hamming window function.
tf.keras.ops.hamming(
x
)
The Hamming window is defined as:
w[n] = 0.54 - 0.46 * cos(2 * pi * n / (N - 1)) for 0 <= n <= N - 1.
Args |
|---|
x
|
Scalar or 1D Tensor. The window length.
|
Returns |
|---|
|
A 1D tensor containing the Hamming window values.
|
Example:
x = keras.ops.convert_to_tensor(5)
keras.ops.hamming(x)
array([0.08, 0.54, 1. , 0.54, 0.08], dtype=float32)
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Last updated 2026-10-31 UTC.
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