View source on GitHub |
Computes the 1D Inverse Discrete Cosine Transform (DCT) of input
.
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')
.
Returns | |
---|---|
A [..., samples] float32 /float64 Tensor containing the IDCT of
input .
|
Raises | |
---|---|
ValueError
|
If type is not 1 , 2 or 3 , n is not None, axisis
not -1, or normis not Noneor 'ortho'`.
|
scipy compatibility
Equivalent to scipy.fftpack.idct for Type-I, Type-II, Type-III and Type-IV DCT.