Inverse real-valued fast Fourier transform.
tf.raw_ops.IRFFT(
input,
fft_length,
Treal=tf.dtypes.float32
,
name=None
)
Computes the inverse 1-dimensional discrete Fourier transform of a real-valued
signal over the inner-most dimension of input
.
The inner-most dimension of input
is assumed to be the result of RFFT
: the
fft_length / 2 + 1
unique components of the DFT of a real-valued signal. If
fft_length
is not provided, it is computed from the size of the inner-most
dimension of input
(fft_length = 2 * (inner - 1)
). If the FFT length used to
compute input
is odd, it should be provided since it cannot be inferred
properly.
Along the axis IRFFT
is computed on, if fft_length / 2 + 1
is smaller
than the corresponding dimension of input
, the dimension is cropped. If it is
larger, the dimension is padded with zeros.
Args | |
---|---|
input
|
A Tensor . Must be one of the following types: complex64 , complex128 .
A complex tensor.
|
fft_length
|
A Tensor of type int32 .
An int32 tensor of shape [1]. The FFT length.
|
Treal
|
An optional tf.DType from: tf.float32, tf.float64 . Defaults to tf.float32 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type Treal .
|