tf.signal.overlap_and_add
Reconstructs a signal from a framed representation.
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/signal/overlap_and_add