tf.signal.mdct | TensorFlow v2.16.1 (original) (raw)
tf.signal.mdct
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Computes the Modified Discrete Cosine Transform of signals.
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Compat aliases for migration
SeeMigration guide for more details.
tf.signal.mdct(
signals,
frame_length,
window_fn=tf.signal.vorbis_window,
pad_end=False,
norm=None,
name=None
)
Implemented with TPU/GPU-compatible ops and supports gradients.
| Args | |
|---|---|
| signals | A [..., samples] float32/float64 Tensor of real-valued signals. |
| frame_length | An integer scalar Tensor. The window length in samples which must be divisible by 4. |
| window_fn | A callable that takes a frame_length and a dtype keyword argument and returns a [frame_length] Tensor of samples in the provided datatype. If set to None, a rectangular window with a scale of 1/sqrt(2) is used. For perfect reconstruction of a signal from mdctfollowed by inverse_mdct, please use tf.signal.vorbis_window,tf.signal.kaiser_bessel_derived_window or None. If using another window function, make sure that w[n]^2 + w[n + frame_length // 2]^2 = 1 and w[n] = w[frame_length - n - 1] for n = 0,...,frame_length // 2 - 1 to achieve perfect reconstruction. |
| pad_end | Whether to pad the end of signals with zeros when the provided frame length and step produces a frame that lies partially past its end. |
| norm | If it is None, unnormalized dct4 is used, if it is "ortho" orthonormal dct4 is used. |
| name | An optional name for the operation. |
| Returns |
|---|
| A [..., frames, frame_length // 2] Tensor of float32/float64MDCT values where frames is roughly samples // (frame_length // 2)when pad_end=False. |
| Raises | |
|---|---|
| ValueError | If signals is not at least rank 1, frame_length is not scalar, or frame_length is not a multiple of 4. |
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Last updated 2024-04-26 UTC.