Aliases:
tf.signal.irfft
tf.spectral.irfft
tf.signal.irfft(
input_tensor,
fft_length=None,
name=None
)
Defined in tensorflow/python/ops/signal/fft_ops.py
.
Inverse real-valued fast Fourier transform.
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
: ATensor
of typecomplex64
. A complex64 tensor.fft_length
: ATensor
of typeint32
. An int32 tensor of shape [1]. The FFT length.name
: A name for the operation (optional).
Returns:
A Tensor
of type float32
.