tf.signal.idct | TensorFlow v2.16.1 (original) (raw)
Computes the 1D Inverse Discrete Cosine Transform (DCT) of input.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.signal.idct, tf.compat.v1.spectral.idct
tf.signal.idct(
input, type=2, n=None, axis=-1, norm=None, name=None
)
Currently Types I, II, III, IV are supported. Type III is the inverse of Type II, and vice versa.
Note that you must re-normalize by 1/(2n) to obtain an inverse if norm is not 'ortho'. That is:signal == idct(dct(signal)) * 0.5 / signal.shape[-1]. When norm='ortho', we have:signal == idct(dct(signal, norm='ortho'), norm='ortho').
| Args | |
|---|---|
| input | A [..., samples] float32/float64 Tensor containing the signals to take the DCT of. |
| type | The IDCT type to perform. Must be 1, 2, 3 or 4. |
| n | For future expansion. The length of the transform. Must be None. |
| axis | For future expansion. The axis to compute the DCT along. Must be -1. |
| norm | The normalization to apply. None for no normalization or 'ortho'for orthonormal normalization. |
| name | An optional name for the operation. |
| Returns |
|---|
| A [..., samples] float32/float64 Tensor containing the IDCT ofinput. |
| Raises | |
|---|---|
| ValueError | If type is not 1, 2 or 3, n is not None,axisis not-1, ornormis notNoneor'ortho'`. |
scipy compatibility
Equivalent to scipy.fftpack.idct for Type-I, Type-II, Type-III and Type-IV DCT.