Computes the 1D Discrete Cosine Transform (DCT) of input.
tf.signal.dct(
input, type=2, n=None, axis=-1, norm=None, name=None
)
Types I, II, III and IV are supported.
Type I is implemented using a length 2N padded tf.signal.rfft.
Type II is implemented using a length 2N padded tf.signal.rfft, as
described here: Type 2 DCT using 2N FFT padded (Makhoul).
Type III is a fairly straightforward inverse of Type II
(i.e. using a length 2N padded tf.signal.irfft).
Type IV is calculated through 2N length DCT2 of padded signal and
picking the odd indices.
Args |
|---|
input
|
A [..., samples] float32/float64 Tensor containing the
signals to take the DCT of.
|
type
|
The DCT type to perform. Must be 1, 2, 3 or 4.
|
n
|
The length of the transform. If length is less than sequence length,
only the first n elements of the sequence are considered for the DCT.
If n is greater than the sequence length, zeros are padded and then
the DCT is computed as usual.
|
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 DCT of
input.
|
Raises |
|---|
ValueError
|
If type is not 1, 2, 3 or 4, axis is
not -1, n is not None or greater than 0,
or norm is not None or 'ortho'.
|
ValueError
|
If type is 1 and norm is ortho.
|
Scipy Compatibility
Equivalent to scipy.fftpack.dct
for Type-I, Type-II, Type-III and Type-IV DCT.
登录
TensorFlow 1 version
View source on GitHub