tf.spectral.irfft

tf.spectral.irfft(
    input_tensor,
    fft_length=None,
    name=None
)

Defined in tensorflow/python/ops/spectral_ops.py.

See the guide: Spectral Functions > Discrete Fourier Transforms

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: A Tensor of type complex64. A complex64 tensor.
  • fft_length: A Tensor of type int32. An int32 tensor of shape [1]. The FFT length.
  • name: A name for the operation (optional).

Returns:

A Tensor of type float32.