tf.spectral.irfft3d

tf.spectral.irfft3d

tf.spectral.irfft3d

irfft3d(
    input_tensor,
    fft_length=None,
    name=None
)

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

See the guide: Spectral Functions > Fourier Transform Functions

Inverse 3D real-valued fast Fourier transform.

Computes the inverse 3-dimensional discrete Fourier transform of a real-valued signal over the inner-most 3 dimensions of input.

The inner-most 3 dimensions of input are assumed to be the result of RFFT3D: The inner-most dimension contains 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 3 dimensions of input. If the FFT length used to compute input is odd, it should be provided since it cannot be inferred properly.

Args:

• input: A Tensor of type complex64. A complex64 tensor.
• fft_length: A Tensor of type int32. An int32 tensor of shape [3]. The FFT length for each dimension.
• name: A name for the operation (optional).

Returns:

A Tensor of type float32. A float32 tensor of the same rank as input. The inner-most 3 dimensions of input are replaced with the fft_length samples of their inverse 3D real Fourier transform.

numpy compatibility

Equivalent to np.irfftn with 3 dimensions.