tf.signal.overlap_and_add | TensorFlow v2.16.1 (original) (raw)
tf.signal.overlap_and_add
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Reconstructs a signal from a framed representation.
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tf.compat.v1.signal.overlap_and_add
tf.signal.overlap_and_add(
signal, frame_step, name=None
)
Adds potentially overlapping frames of a signal with shape[..., frames, frame_length], offsetting subsequent frames by frame_step. The resulting tensor has shape [..., output_size] where
output_size = (frames - 1) * frame_step + frame_length
| Args | |
|---|---|
| signal | A [..., frames, frame_length] Tensor. All dimensions may be unknown, and rank must be at least 2. |
| frame_step | An integer or scalar Tensor denoting overlap offsets. Must be less than or equal to frame_length. |
| name | An optional name for the operation. |
| Returns |
|---|
| A Tensor with shape [..., output_size] containing the overlap-added frames of signal's inner-most two dimensions. |
| Raises | |
|---|---|
| ValueError | If signal's rank is less than 2, or frame_step is not a scalar integer. |
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Last updated 2024-04-26 UTC.