tf.contrib.signal.hamming_window

tf.contrib.signal.hamming_window(
    window_length,
    periodic=True,
    dtype=tf.float32,
    name=None
)

Defined in tensorflow/contrib/signal/python/ops/window_ops.py.

See the guide: Signal Processing (contrib) > Reconstructing framed sequences and applying a tapering window

Generate a Hamming window.

Args:

  • window_length: A scalar Tensor indicating the window length to generate.
  • periodic: A bool Tensor indicating whether to generate a periodic or symmetric window. Periodic windows are typically used for spectral analysis while symmetric windows are typically used for digital filter design.
  • dtype: The data type to produce. Must be a floating point type.
  • name: An optional name for the operation.

Returns:

A Tensor of shape [window_length] of type dtype.

Raises:

  • ValueError: If dtype is not a floating point type.