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Inverse real-valued fast Fourier transform.
tf.signal.irfft(
input_tensor, fft_length=None, 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.
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).A Tensor
of type Treal
.